ai.md

Algorithm

• Minimal and clean examples of machine learning algorithms implementations

Artificial general intelligence (AGI)

• https://www.daveshap.io/books + https://github.com/daveshap/NaturalLanguageCognitiveArchitecture + https://github.com/daveshap/BenevolentByDesign
• Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI + https://karpathy.medium.com/software-2-0-a64152b37c35 + https://tldrsec.com/blog/tldr-sec-167/#machine-learning
• https://m.youtube.com/playlist?list=PL1v8zpldgH3qe4xqXgHPyfwJKckvZIjfp
• https://dallasinnovates.com/exclusive-qa-john-carmacks-different-path-to-artificial-general-intelligence
• https://18alan.space/posts/agi-in-t-minus-ten-years.html

Book

• https://plugaru.org/2021/03/10/a-thousand-brains
• Artificial Intelligence: A Guide for Thinking Humans
• AI Superpowers: China, Silicon Valley, and the New World Order
• https://twitter.com/Miles_Brundage/status/1177999361118277635 + https://twitter.com/jennyhbren/status/1164099257378492416
• Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
• An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013)
• Spinning Up in Deep Reinforcement Learning
• Machine Learning from Scratch
• https://www.linkedin.com/posts/arnuld-on-data_how-id-start-learning-machine-learning-again-activity-6707557261012795392-nEG1
• https://github.com/lyhue1991/eat_tensorflow2_in_30_days
• https://mentorcruise.com/books/ml + https://news.ycombinator.com/item?id=23997301
• https://builtin.com/data-science/data-science-books + https://news.ycombinator.com/item?id=23936249
• The Hundred-Page Machine Learning Book by Andriy Burkov + https://news.ycombinator.com/item?id=25905899
• Recurrent Attentive Neural Process for Time Series Clustering (Master Thesis)
• https://uxplanet.org/designer-friendly-resources-to-study-ai-and-machine-learning-1-6106e257faeb
• Learning Theory from First Principles
• https://andrewnc.github.io/blog/everyday_data_science.html
• https://www.amazon.com/Architects-Intelligence-truth-people-building-ebook/dp/B07H8L8T2J
• https://github.com/PacktPublishing/Machine-Learning-with-Amazon-SageMaker-Cookbook
• https://www.amazon.com/2062-World-that-AI-Made-ebook/dp/B07B3RDQJH + http://www.cse.unsw.edu.au/~tw/#books
• Jacques Attali | Scurtă istorie a viitorului + Jacques Attali | Cum să ne apărăm de crizele următoare
• https://bogdanbocse.com/embodied-computational-calculus + https://bogdanbocse.com/embodied-computational-calculus
• https://github.com/zslucky/awesome-AI-books
• I read a lot of books this year to broaden my horizons in AI/ML with adjacent or complementary disciplines
• https://leanpub.com/interpretable-machine-learning + https://christophm.github.io/interpretable-ml-book
• Machine Learning: Advanced Topics
• Data mining pentru Științele Sociale Vol. 1: Pregătirea datelor în RapidMiner Studio | COMŞA Mircea
• Natural Language Processing with TensorFlow | Thushan Ganegedara
• Intro to Artificial Neural Networks for High Schoolers
• Approaching (Almost) Any Machine Learning Problem
• https://github.com/ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide

Cheat sheet

• https://blog.gregbrockman.com/its-time-to-become-an-ml-engineer
• https://github.com/louisfb01/start-machine-learning + https://www.louisbouchard.ai/learnai
• https://github.com/trekhleb/machine-learning-octave
• https://github.com/AMAI-GmbH/AI-Expert-Roadmap
• https://twitter.com/binitamshah/status/1312760070183153665
• https://github.com/leandromineti/ml-knowledge-graph
• https://github.com/ZuzooVn/machine-learning-for-software-engineers
• https://github.com/zotroneneis/machine_learning_basics
• https://github.com/Avik-Jain/100-Days-Of-ML-Code
• https://towardsdatascience.com/natural-language-processing-for-web-developers-765be34b27d0
• https://github.com/abhat222/Data-Science--Cheat-Sheet/tree/master/Machine%20Learning
• Full-on machine learning for 2020, what are the best resources?
• https://github.com/leandromineti/awesome-healthmetrics
• https://theaisummer.com/Deep-Learning-Algorithms
• https://github.com/jivoi/awesome-ml-for-cybersecurity
• https://github.com/src-d/awesome-machine-learning-on-source-code
• https://github.com/mrdbourke/machine-learning-roadmap
• https://medium.com/javascript-in-plain-english/ml-for-js-devs-in-10-minutes-46794782762e
• https://towardsdatascience.com/a-learning-path-to-becoming-a-data-scientist-56c5c2e8ae3f
• https://github.com/dformoso/machine-learning-mindmap
• Visual Studio Code extension to quickly generate docstrings for Python functions using AI
• https://github.com/GokuMohandas/madewithml
• https://github.com/chiphuyen/machine-learning-systems-design
• https://github.com/hoya012/awesome-anomaly-detection
• https://github.com/alex-movila/My-Public-AI-Presentations
• https://www.notion.so/Rishabh-Anand-ceb23e08fecf4afb8732fe0f55039f90 + https://twitter.com/rishabh16_/status/1366810566493310976
• Resources for conservation, development, and documentation of low resource (human) languages.
• https://github.com/terryum/awesome-deep-learning-papers
• A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
• https://github.com/firmai/industry-machine-learning
• https://github.com/aaronwangy/Data-Science-Cheatsheet
• https://github.com/lschmelzeisen/talk-supervised-learning-tensorflow
• https://github.com/vidhanbhonsle/Image-Recognition-with-IBM-and-HERE-Workshop
• https://github.com/dmvaldman/library/tree/master/ai
• https://github.com/bfortuner/ml-glossary
• https://github.com/margaretmz/awesome-tensorflow-lite
• https://github.com/therealsreehari/Learn-Data-Science-For-Free
• https://github.com/merveenoyan/my_notes

Course

• Unconventional Ways to Learn More Online
• https://github.com/microsoft/ML-For-Beginners
• https://ttumiel.github.io/blog/getting-into-ml
• https://github.com/CryptoSoc/fastai-lessons + https://github.com/fastai/course22 + https://www.fast.ai/2020/08/19/data-ethics + https://news.ycombinator.com/item?id=24213477 + fast.ai Part 1, 2019 & Things Jeremy says to do + https://github.com/radekosmulski/aiquizzes-anki
• https://github.com/llSourcell/Learn_Machine_Learning_in_3_Months
• https://github.com/llSourcell/Learn_Deep_Learning_in_6_Weeks
• https://github.com/bnorbert/Courses/blob/master/History%20Of%20Computer%20Science%20Project/A_brief_history_of_Machine_Learning.pdf
• https://www.freecodecamp.org/news/massive-tensorflow-2-0-free-course
• https://academy.infinite.red/p/ai-demystified-free-5-day-mini-course
• https://laconicml.com/free-artificial-intelligence-courses
• JavaScript for Data Science
• https://www.freecodecamp.org/news/hands-on-data-science-course
• https://course.elementsofai.com
• https://www.freecodecamp.org/news/building-a-data-science-curriculum-with-advanced-math-and-machine-learning
• https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd
• https://github.com/lexfridman/mit-deep-learning
• CS224W: Machine Learning with Graphs + https://twitter.com/jure/status/1382743017283493889 + https://m.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn
• https://www.udemy.com/course/learn-machine-learning-in-21-days
• https://inst.eecs.berkeley.edu/~cs188/su21
• https://github.com/rainyear/Oxford-Machine-Learning-Course-2015
• https://github.com/kendricktan/non-overwhelming-machine-learning
• https://github.com/DataScienceSpecialization/courses
• https://github.com/HaleTom/pytorch-udacity-scholarship
• https://laurencemoroney.com/2022/01/05/aiforanyone.html
• https://github.com/dcetin/eth-cs-notes
• https://github.com/zlotus/notes-LSJU-machine-learning
• Cornell CS5785: Applied Machine Learning | Fall 2020
• Igo Math - Natural and Artificial Intelligence and the Game of Go
• https://github.com/frnsys/ai_notes
• https://github.com/dibgerge/ml-coursera-python-assignments

Cinema

• RL Course by David Silver
• CS294-112 Fall 2017 (deep RL course)
• Two Minute Papers
• Machine Learning and Programming - Vivek Haldar
• Building a Machine Learning Based Web App Firewall/IPS from Scratch | Debasish Mandal + http://www.debasish.in/2020/10/videobuilding-machine-learning-based.html
• https://divyendusingh.com/machine-learning-literacy
• Machine Learning Course - Halmstad University
• https://decision.substack.com/p/full-course-making-friends-with-ml
• Beep Boop: Learn AI/ML for free!
• Israel Algorithmic Game Theory Seminar
• https://github.com/benthecoder/yt-channels-DS-AI-ML-CS

Community

• Amit Chaudhary
• Suzana Ilić: Twitter, Linkedin
• Brandon Rohrer: Twitter, Linkedin
• Chip Huyen: Twitter, Linkedin
• https://interestingengineering.com/robert-downey-jrs-series-on-ai-is-available-on-youtube-right-now
• Joscha Bach: Artificial Consciousness and the Nature of Reality
• Jürgen Schmidhuber
• https://twitter.com/svpino/status/1320722226069573634
• https://sararobinson.dev/2020/11/17/writing-a-technical-book.html
• Daniel Etzold
• Noor Siddiqui
• My favorite ML educators
• Letiția Pârcălăbescu
• Machine Learning & User Experience (MLUX)
• Heather Knight
• David Valdman
• Louis-François Bouchard
• https://github.com/BAILOOL/DoYouEvenLearn
• [https://www.facebook.com/groups/propBitDev](Artificial General Intelligence (AGI/ASI))

ChatGPT

• Building Startups with an AI Co-Founder
• https://github.com/logankilpatrick/ChatGPT-Plugins-Collection
• Talk to your codebase
• A review bot that can leave PR comments and reviews
• get familiar with LLMs + https://stanford-cs324.github.io/winter2022 + https://arxiv.org/abs/2108.07258
• https://systemsapproach.substack.com/p/putting-large-language-models-in
• https://app.gumroad.com/d/1dff6753fb21e2e05e1e42cee5fefa04
• https://github.com/topics/chatgpt
• https://github.com/topics/gpt-3
• https://github.com/stars/acheong08/lists/awesome-chatgpt
• A git prepare-commit-msg hook for authoring commit messages with GPT-3
• https://github.com/humanloop/awesome-chatgpt
• https://github.com/morpheuslord/GPT_Vuln-analyzer
• Building a Virtual Machine Inside ChatGPT + https://twitter.com/317070/status/1599152176344928256
• Building applications with LLMs through composability
• https://github.com/stars/FanaHOVA/lists/llm-chaining
• https://github.com/stars/vladiliescu/lists/llm
• https://codewithandrea.com/articles/dart-flutter-chatgpt
• https://slate.com/technology/2022/12/chatgpt-openai-artificial-intelligence-chatbot-whoa.html
• https://simonwillison.net/2022/Dec/5/rust-chatgpt-copilot + https://news.ycombinator.com/item?id=33872369
• https://maximumeffort.substack.com/p/i-taught-chatgpt-to-invent-a-language
• https://mailchi.mp/hackernewsletter/630?e=cb2457a414
• https://danielmiessler.com/blog/ideas-changes-expect-post-chatgpt
• https://tldrsec.com/blog/tldr-sec-161/#chatgpt
• https://research.nccgroup.com/2022/12/05/exploring-prompt-injection-attacks
• https://lspace.swyx.io/p/reverse-prompt-eng
• https://github.com/danielgross/whatsapp-gpt
• https://github.com/taranjeet/unofficial-chatgpt-api
• ChatGPT for Mac, living in your menubar
• Twilio GPT SMS Chat Bot
• VSCode Integration POC for ChatGPT
• https://github.com/transitive-bullshit/chatgpt-api
• https://github.com/f/awesome-chatgpt-prompts
• https://github.com/openai/openai-cookbook
• https://www.freecodecamp.org/news/pair-programming-with-the-chatgpt-ai-how-well-does-gpt-3-5-understand-bash
• https://m.youtube.com/watch?v=mh7wzbWAHFE
• https://github.com/sw33tLie/impressive-chatgpt
• https://github.com/liady/ChatGPT-pdf
• app that can quickly and efficiently detect whether an essay is ChatGPT or human written
• https://github.com/spinda/react-redux-chatgpt/tree/main/react-redux-chatgpt
• automated AI podcast + https://twitter.com/yacineMTB/status/1608993955835957248
• Reverse Engineered ChatGPT by OpenAI
• Build your own ChatGPT with OpenAI's GPT-3 model apis
• Go CLI to fuels a Telegram bot that lets you interact with ChatGPT
• interface of the ChatGPT API using browser automation that bypasses cloudflare detection and recaptchas
• nodejs script that enables continuous conversation with voice recognition and tts speaker responses
• Export GPTChat responses to an HTML file
• A browser extension to display ChatGPT response alongside search engine results
• https://research.checkpoint.com/2023/opwnai-cybercriminals-starting-to-use-chatgpt
• A chrome extension that uses GPT3 to summarize highlighted text
• promising new AI projects built on NextJS and Vercel
• semantic search index for any YouTube channel/playlist + https://github.com/transitive-bullshit/yt-semantic-search
• Chrome extension for saving ChatGPT threads using gpt.best
• https://github.com/rileytomasek/openai-fetch
• https://greylock.com/greymatter/reid-hoffman-chatbots-talking-ai-with-ai
• https://changelog.com/podcast/519
• Drive a browser with GPT-3
• https://chrome.google.com/webstore/detail/chatgpt-for-search-engine/feeonheemodpkdckaljcjogdncpiiban
• Code for the paper: "Large Language Models as Corporate Lobbyists" (2023)
• The most economically impactful use-case for LLMs is not chatbots
• https://medium.com/@paul.k.pallaghy/chatgpt-the-hard-part-of-agi-is-now-done-3179d31a7277 + https://twitter.com/irinarish/status/1616435251580108800
• Historical analogies for large language models
• Some remarks on Large Language Models | Yoav Goldberg
• https://maggieappleton.com/ai-dark-forest
• https://github.com/TheAppleTucker/backend-GPT
• see what the Copilot extension sends to the server
• tracking improvements to train large language models?
• Use OpenAI to generate functioning React Native components
• https://github.com/giuven95/chatgpt-failures
• https://github.com/C-Nedelcu/talk-to-chatgpt + https://m.youtube.com/@cned9319/videos
• https://www.viorelspinu.com/2022/12/technical-architecture-for-whatsapp.html
• https://www.facebook.com/groups/aicomunity
• 6 month learning plan for AI large language models
• GPT-3 chatbot with long-term memory and external sources
• client-side PoC of OpenAI Chat GPT API via Web Speech API
• Use ChatGPT from the terminal
• GPT in 60 Lines of NumPy + https://news.ycombinator.com/item?id=34726115
• https://github.com/Zero6992/chatGPT-discord-bot
• https://www.manning.com/books/regular-expression-puzzles-and-ai-coding-assistants
• https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work
• Open Assistant: Conversational AI for Everyone + https://github.com/LAION-AI/Open-Assistant
• https://github.com/ai-forever/ru-gpts
• Telegram bot integrated with ruGPT3
• https://ijaycent.hashnode.dev/al-assistants-that-help-your-productivity-besides-chatgpt
• proxy API that allows you to access OpenAI's ChatGPT API for free
• Official repo for the paper: Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models
• Port of Facebook's LLaMA model in C/C++
• use OpenAI chat capabilities in your terminal
• The simplest way to run LLaMA on your local machine

Ernie

• https://morethanmoore.substack.com/p/baidus-ernie-bot-true-competition

Tool

• Curated list of libraries for a faster machine learning workflow
• Recommender systems (or recommendation engines)
• Otto is an intelligent chat application, designed to help aspiring machine learning engineers go from idea to implementation with minimal domain knowledge.
• https://calv.info/gpt-3-real-magic + https://twitter.com/calvinfo/status/1286332337563684865
• https://blog.maximeheckel.com/posts/first-steps-with-gpt-3-and-beyond
• Smart Upscaler can upscale images up to 3000x3000px.
• https://www.freecodecamp.org/news/building-a-habit-of-reading-research-papers
• End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
• HRI '21: Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
• AlephBERT, a Hebrew pretrained language model to start off your Hebrew NLP Application
• Free Software Social Friendly AI for general use, but esp for those w/ poverty, homelessness, disabilty or illness
• https://www.stavros.io/posts/making-ai-podcast + https://deepdreams.stavros.io
• https://github.com/stars/yamalight/lists/machine-learning-things
• Links Detector makes printed links clickable via your smartphone camera
• Tools to help efficiently generate images
• Train a computer to recognize your own images, sounds, & poses
• Audio transcription models
• https://github.com/bharathgs/Awesome-pytorch-list
• If ChatGPT and Google Scholar got married, their child would be Consensus — an AI-powered search engine

Neural network

• https://twitter.com/karpathy/status/1613578749509013504 + https://karpathy.ai/zero-to-hero.html + The simplest, fastest repository for training/finetuning medium-sized GPTs + https://twitter.com/mlpowered/status/1615852047311704064
• https://towardsdatascience.com/the-mostly-complete-chart-of-neural-networks-explained-3fb6f2367464
• https://github.com/AgaMiko/bird-recognition-review
• https://www.digitalocean.com/community/tutorials/how-to-trick-a-neural-network-in-python-3
• https://github.com/Kayzaks/HackingNeuralNetworks
• https://github.com/zzw922cn/awesome-speech-recognition-speech-synthesis-papers
• https://github.com/humphd/have-fun-with-machine-learning

CNN

• https://github.com/murari023/awesome-background-subtraction

Deep learning

• Background Matting is a project that uses deep learning to turn any background into a green screen with just a handheld camera.
• An educational resource to help anyone learn deep reinforcement learning.
• Reinforcement Learning + Deep Learning
• A deep database of medical abbreviations and acronyms for natural language processing + https://www.nature.com/articles/s41597-021-00929-4
• Clone a voice in 5 seconds to generate arbitrary speech in real-time
• https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap
• https://www.todaysoftmag.ro/article/3614/propunere-de-carte-machine-learning
• Personalized Recommendation system with Python
• Deep Learning | João Araújo
• https://github.com/WZMIAOMIAO/deep-learning-for-image-processing
• Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann
• https://github.com/blueberrymusic/Deep-Learning-A-Visual-Approach
• notes for training better deep learning models
• MIT 6.S191: Introduction to Deep Learning + https://github.com/aamini/introtodeeplearning
• Elena Burceanu
• https://github.com/jacobhilton/deep_learning_curriculum

Natural language processing (NLP)

• https://www.manning.com/liveprojectseries/math-for-machine-learning-ser
• https://github.com/booknlp/booknlp

Paper

• Software engineering for artificial intelligence and machine learning software: A systematic literature review
• Towards the First Machine Translation System for SumerianTransliterations
• https://github.com/louisfb01/best_AI_papers_2022
• Platform for Automatic Analysis of Malicious Applications Using Artificial Intelligence Algorithms + https://github.com/iosifache/dike
• Detecting Fake Accounts on Social Media
• https://github.com/patrickcgray/awesome-deep-ecology
• Code and real data for "Enhancing Human Learning via Spaced Repetition Optimization", PNAS 2019
• On Hiding Neural Networks Inside Neural Networks | Chuan Guo, Ruihan Wu, Kilian Q. Weinberger
• Open source science model trained on 48M scihub papers

Demo

• Using AI and machine learning to help with Quran memorization and recitation.
• An adblocker for live radio streams and podcasts. Machine learning meets Shazam.
• Search/personalization as a service to small-medium businesses && automation in screening
• Removing people from complex backgrounds in real time using TensorFlow.js in the web browser.
• Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
• Alias is a teachable “parasite” that is designed to give users more control over their smart assistants, both when it comes to customisation and privacy.
• AI Projects - Will Kwan
• https://github.com/cchen156/Learning-to-See-in-the-Dark
• https://medium.com/analytics-vidhya/sentiment-analysis-of-restaurant-reviews-542727dc24e2
• Build a DIY license plate reader with machine learning + https://news.ycombinator.com/item?id=24493248
• A curated list of awesome machine learning projects built with Google's Teachable Machine.
• ML Art - A curated showcase of creative machine learning artworks and projects
• https://towardsdatascience.com/create-your-own-smart-baby-monitor-with-a-raspberrypi-and-tensorflow-5b25713410ca
• https://github.com/nashory/gans-awesome-applications
• [Automating my job by using GPT-3 to generate database-ready SQL to answer business questions(https://blog.seekwell.io/gpt3) + https://news.ycombinator.com/item?id=25930190
• https://einstein.digitalhumans.com
• Automatically tagging Belgian politician when they use their phone on the daily livestreams. With the help of AI.
• https://nathanielbd.github.io/posts/hacking-the-normie-test
• https://github.com/KayO-GH/Ashesi-DSC-Tensorflow-Workshop
• interior.computer
• Get interior design ideas from AI (28,867 interiors rendered)
• http://rez0.blog/art/2022/09/29/how-to-create-ai-art.html
• How to detect any CMS version with Machine Learning Algorithms
• Stable Diffusion is only 30 days old + https://twitter.com/daniel_eckler/status/1589629394372669440
• https://github.com/amrzv/awesome-colab-notebooks
• https://reasonabledeviations.com/Projects/#mlstocks

Optical character recognition (OCR)

• https://findthatmeme.com/blog/2023/01/08/image-stacks-and-iphone-racks-building-an-internet-scale-meme-search-engine-Qzrz7V6T.html

Opinion

• https://www.privatdozent.co/p/the-birth-of-ai-1956
• https://plugaru.org/2016/04/24/future-of-humanity-and-strong-AI
• https://thinkml.ai/top-5-ai-achievements-of-2020
• https://www.hyro.ai/post/gpt-3-vs-existing-conversational-ai-solutions
• https://www.fastcompany.com/90590042/turing-test-obsolete-ai-benchmark-amazon-alexa
• Microsoft president: Orwell’s 1984 could happen in 2024
• https://www.leonlinsx.com/doctor-gpt3
• A curated list to track current scary usages of AI
• http://tombaranowicz.com/index.php/2020/03/29/7-machine-learning-business-ideas
• https://loomcom.com/blog/0127_jacques_vallee_on_artificial_intelligence.html
• https://github.com/davidbau/how-to-read-pytorch
• http://incompleteideas.net/IncIdeas/BitterLesson.html

Security

• Unencrypted PCIe traffic, to leak DNN models
• Automating Host Exploitation
• https://github.com/DeepSpaceHarbor/Awesome-AI-Security
• https://github.com/terjanq/hack-a-prompt

Deep learning

• Book
  • https://github.com/the-deep-learners/deep-learning-illustrated
  • https://www.learningmachines101.com/book-review-deep-learning
• Cheat sheet
  • https://github.com/ThinamXx/MachineLearning_DeepLearning
  • https://github.com/ThinamXx/300Days__MachineLearningDeepLearning
  • https://github.com/Nyandwi/deep-learning-course-kigali
  • Spring 2023 COMP664 course "Deep Learning" at UNC
  • Understanding Deep Learning - Simon J.D. Prince
  • http://web.archive.org/web/20221003014452/https://www.getrevue.co/profile/deeprevision/issues/a-revised-history-of-deep-learning-issue-1-1145664
  • Interactive deep learning book with multi-framework code, math, and discussions
• Community
  • https://github.com/the-deep-learners/study-group
• Computer vision
  • https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
  • Learn OpenCV : C++ and Python Examples
  • https://www.freecodecamp.org/news/opencv-full-course
  • Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
  • https://github.com/Developer-Y/cs-video-courses#image-processing-and-computer-vision
  • Deep Learning for Computer Vision
  • https://www.freecodecamp.org/news/advanced-computer-vision-with-python
  • https://github.com/amzn/computer-vision-basics-in-microsoft-excel
  • List of satellite image training datasets with annotations for computer vision and deep learning
  • https://github.com/phellonchen/awesome-Vision-and-Language-Pre-training
  • https://github.com/dair-ai/ML-Papers-Explained#tabular-deep-learning
  • https://github.com/dair-ai/ML-YouTube-Courses
• Course
  • https://github.com/Atcold/pytorch-Deep-Learning
• Demo
  • https://github.com/emilwallner/Screenshot-to-code
• Historic
  • https://www.freecodecamp.org/news/the-history-of-ai
  • https://people.idsia.ch/~juergen/deep-learning-history.html
• Large language model (LLM)
  • https://github.com/forcesunseen/llm-hackers-handbook
  • https://github.com/dair-ai/Prompt-Engineering-Guide
  • https://github.com/imaurer/awesome-decentralized-llm
  • https://github.com/huggingface/large_language_model_training_playbook
  • https://github.com/YuxinWenRick/hard-prompts-made-easy
  • Papers & tech blogs by companies sharing their work on data science & machine learning in production
  • How do we properly evaluate and compare LLMs?
  • Unlock the Power of AI: Build a ChatGPT Chatbot For Your Data
  • Assemble, configure, and deploy autonomous AI Agents in your browser
  • LLM primers
  • CLI tool to test prompt effectiveness easily against AI models
  • https://www.python-engineer.com/posts/langchain-crash-course
  • https://github.com/SCIR-HI/Huatuo-Llama-Med-Chinese
  • Interact privately with your documents using the power of GPT, 100% privately, no data leaks
  • Bringing large-language models and chat to web browsers
  • code-davinci-002 is actually better for many things than ChatGPT-3.5 + https://www.lesswrong.com/posts/t9svvNPNmFf5Qa3TA/mysteries-of-mode-collapse#Observations
  • https://github.com/Barnacle-ai/awesome-llm-list
  • https://github.com/PicoCreator/smol-dev-js
  • https://www.freecodecamp.org/news/build-gpt-4-api-chatbot-turorial
  • https://blog.nuculabs.dev//posts/2023/2023-06-21-fastai-model-deployment-fastapi
  • https://github.com/nichtdax/awesome-totally-open-chatgpt
  • A reverse engineered API for Google Bard chatbot for NodeJS
  • Reverse engineered API of Microsoft's Bing Chat AI
• Opinion
  • How AI misrepresents culture through a facial expression
• Stable Diffusion
  • InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies
  • Convert your black and white images to colored
  • Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database)
• Tool
  • Pytorch based speech enhancement toolkit
  • Tool to help artists to prevent their artistic styles from being learned and mimicked by new AI-art models such as MidJourney, Stable Diffusion and their variants

Genetic algorithms

• Book
  • https://www.learningmachines101.com/book-review-markov-logic-interface-layer-artificial-intelligence

Machine learning

• Algorithm

  • The release of the Twitter algorithm, annotated for recsys

• Book

  • https://www.learningmachines101.com/digital-computation-done-brains-machines
  • https://www.learningmachines101.com/book-review-quest-artificial-intelligence
  • https://www.learningmachines101.com/book-review-pattern-recognition-machine-learning

• Community

  • https://github.com/ThinamXx/ML..Interview..Preparation
  • ML reasoning reading list + https://twitter.com/EmilWallner/status/1301565902765293574
  • Books and links Jürgen Schmidhuber recommends to new students at his lab + https://twitter.com/EmilWallner/status/1314581326209613826

• Deploy

  • Predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment

• Historic

  • Growing open-source from Torch to PyTorch + https://thegradientpub.substack.com/p/soumith-chintala-pytorch

Neural network

• https://github.com/ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
• Neural Networks from Scratch | sentdex + https://m.youtube.com/playlist?list=PLQVvvaa0QuDcjD5BAw2DxE6OF2tius3V3
• https://www.freecodecamp.org/news/the-brain-inspired-approach-to-ai

Natural language processing (NLP)

• Cheat sheet
  • https://huggingface.co/course + https://youtu.be/sUt-YV5bPXA
  • A hackers AI voice assistant, built using Python and PyTorch | Michael Phi
  • https://github.com/dair-ai/ML-Notebooks#nlp
  • https://github.com/ThinamXx/66Days__NaturalLanguageProcessing
  • https://github.com/ThinamXx/Transformers_NLP
  • A study guide to learn about Transformers
• Course
  • https://github.com/yandexdataschool/nlp_course + https://lena-voita.github.io/nlp_course.html

Robotics