Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Collection of Open Source Projects Related to GPT，GPT相关开源项目合集🚀、精选🔥🔥
Programación con Python, actividades y diferentes niveles
nannyml: post-deployment data science in python
Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.
Gen AI Framework and Orchestration Engine. GenAI Goos.Flock emerges as a groundbreaking framework and orchestration engine, designed to seamlessly integrate and manage complex AI workflows. This innovative platform is the ultimate solution for organizations seeking to harness the full potential of Generative AI, Large Language Models (LLMs)
petchay doctor AI Mobile Application
DagsHub client libraries
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
A REST API to serve machine learning and deep learning models
HeFlwr: Federated Learning for Heterogeneous Devices
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
Visualizer for neural network, deep learning and machine learning models
Web AI
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Dynamic detection of likely invariants
Zero-True: A collaborative notebook built for data scientists
Collection of AI-related utilities. Welcome to submit issues and pull requests /收藏AI相关的实用工具，欢迎提交issues 或者pull requests
Adafel's ODL SDK to Contribute, Extract and Compute Onchain/Offline Data to build efficient ML Models
LLMOps with Prompt Flow is a "LLMOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.