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applied-deep-learning

Applied Deep Learning Course

awesome-isaac-gym

A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

deepul

drl-robot-navigation

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

eecs498-assignments

effective-python

Learn and summarize 'Effective Python'

featuredecorrelationssl

hare-tortoise

Code for the paper "Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks" (ICML 2024)

homework_fall2023

hyeonsio.github.io

isaacgymenvs

Isaac Gym Reinforcement Learning Environments

minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

omniisaacgymenvs

Reinforcement Learning Environments for Omniverse Isaac Gym

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

sac

Soft Actor-Critic

simsiam-91.9-top1-acc-on-cifar10

Pytorch implementation of the paper Exploring Simple Siamese Representation Learning.

td7

Author's PyTorch implementation of TD7 for online and offline RL