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Simple command to backup a Notion workspace
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
A Python Toolkit for Managing a Large Number of Experiments
This repo contains the Hugging Face Deep Reinforcement Learning Course.
From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)
A template for a Research Lab website, built with Jekyll.
Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Machine Learning notebooks for refreshing concepts.
Benchmarking the Spectrum of Agent Capabilities
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
A curated list of awesome Deep Reinforcement Learning resources.
A brief computer graphics / rendering course
A tiny sotfware 3D renderer in 100 lines of Python
Variational Auto-Encoders in a Sequential Setting.
Install and run Linux on a Razer Blade Stealth (late 2016) and Razer Core.
Naming and shaming companies who kowtow to Chinese censorship requests
Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Meta-RL.
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
Repo containing the urdf and frost based models of Cassie
A model of the Kinova Jaco arm including some tools, e.g. plugins for Gazebo
Prototyping robots for PyBullet (F1/10 MIT Racecar, Sawyer, Baxter and Dobot arm, Boston Dynamics Atlas and Botlab environment)
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained