#jupyter_notebook #deep_learning #deep_reinforcement_learning #jax #machine_learning #numpy #reinforcement_learning #transformer
https://github.com/google/trax
https://github.com/google/trax
GitHub
GitHub - google/trax: Trax — Deep Learning with Clear Code and Speed
Trax — Deep Learning with Clear Code and Speed. Contribute to google/trax development by creating an account on GitHub.
#jupyter_notebook #algorithmic_bias #computer_vision #deep_learning #deep_reinforcement_learning #deeplearning #jupyter_notebooks #mit #music_generation #neural_networks #tensorflow #tensorflow_tutorials
https://github.com/aamini/introtodeeplearning
https://github.com/aamini/introtodeeplearning
GitHub
GitHub - aamini/introtodeeplearning: Lab Materials for MIT 6.S191: Introduction to Deep Learning
Lab Materials for MIT 6.S191: Introduction to Deep Learning - aamini/introtodeeplearning
#python #a2c #advantage_actor_critic #ddpg #deep_deterministic_policy_gradient #deep_q_learning #deep_reinforcement_learning #dqn #dqn_pytorch #ppo #proximal_policy_optimization #reinforcement_learning #reinforcement_learning_algorithms #sac #soft_actor_critic
https://github.com/cpnota/autonomous-learning-library
https://github.com/cpnota/autonomous-learning-library
GitHub
GitHub - cpnota/autonomous-learning-library: A PyTorch library for building deep reinforcement learning agents.
A PyTorch library for building deep reinforcement learning agents. - cpnota/autonomous-learning-library
#jupyter_notebook #a2c #actor_critic #deep_learning #deep_q_learning #deep_q_network #deep_reinforcement_learning #ppo #pytorch #qlearning #tensorflow #tensorflow_tutorials #unity
https://github.com/simoninithomas/Deep_reinforcement_learning_Course
https://github.com/simoninithomas/Deep_reinforcement_learning_Course
GitHub
GitHub - simoninithomas/Deep_reinforcement_learning_Course: Implementations from the free course Deep Reinforcement Learning with…
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch - simoninithomas/Deep_reinforcement_learning_Course
#python #alphago #alphazero #deep_learning #deep_reinforcement_learning #gym #machine_learning #mcts #model_based_rl #monte_carlo_tree_search #muzero #muzero_general #neural_network #python3 #pytorch #reinforcement_learning #residual_network #rl #self_learning #tensorboard
https://github.com/werner-duvaud/muzero-general
https://github.com/werner-duvaud/muzero-general
GitHub
GitHub - werner-duvaud/muzero-general: MuZero
MuZero. Contribute to werner-duvaud/muzero-general development by creating an account on GitHub.
#jupyter_notebook #deep_reinforcement_learning #reinforcement_learning #reinforcement_learning_excercises
https://github.com/huggingface/deep-rl-class
https://github.com/huggingface/deep-rl-class
GitHub
GitHub - huggingface/deep-rl-class: This repo contains the Hugging Face Deep Reinforcement Learning Course.
This repo contains the Hugging Face Deep Reinforcement Learning Course. - huggingface/deep-rl-class
#python #deep_reinforcement_learning #gym #hyperparameter_optimization #hyperparameter_search #hyperparameter_tuning #lab #openai #optimization #pybullet #pybullet_environments #pytorch #reinforcement_learning #rl #robotics #sde #stable_baselines #tuning_hyperparameters
https://github.com/DLR-RM/rl-baselines3-zoo
https://github.com/DLR-RM/rl-baselines3-zoo
GitHub
GitHub - DLR-RM/rl-baselines3-zoo: A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter…
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included. - DLR-RM/rl-baselines3-zoo
#python #ai #computer_vision #deep_learning #deep_reinforcement_learning #reinforcement_learning #research #robotics #sim2real #simulator
https://github.com/facebookresearch/habitat-lab
https://github.com/facebookresearch/habitat-lab
GitHub
GitHub - facebookresearch/habitat-lab: A modular high-level library to train embodied AI agents across a variety of tasks and environments.
A modular high-level library to train embodied AI agents across a variety of tasks and environments. - facebookresearch/habitat-lab
#python #a2c #actor_critic #advantage_actor_critic #ale #atari #deep_learning #deep_reinforcement_learning #gym #machine_learning #phasic_policy_gradient #ppo #proximal_policy_optimization #pytorch #reinforcement_learning #wandb
https://github.com/vwxyzjn/cleanrl
https://github.com/vwxyzjn/cleanrl
GitHub
GitHub - vwxyzjn/cleanrl: High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly…
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG) - vwxyzjn/cleanrl
#python #data_mining #data_science #deep_learning #deep_reinforcement_learning #genetic_algorithm #machine_learning #machine_learning_from_scratch
This project offers Python code for many basic machine learning models and algorithms built from scratch, focusing on clear, understandable implementations rather than speed or optimization. You can learn how these algorithms work inside by running examples like polynomial regression, convolutional neural networks, clustering, and genetic algorithms. This hands-on approach helps you deeply understand machine learning concepts and build your own custom models. Using Python makes it easier because of its simple, readable code and flexibility, letting you quickly test and modify algorithms. This can improve your skills and confidence in machine learning development.
https://github.com/eriklindernoren/ML-From-Scratch
This project offers Python code for many basic machine learning models and algorithms built from scratch, focusing on clear, understandable implementations rather than speed or optimization. You can learn how these algorithms work inside by running examples like polynomial regression, convolutional neural networks, clustering, and genetic algorithms. This hands-on approach helps you deeply understand machine learning concepts and build your own custom models. Using Python makes it easier because of its simple, readable code and flexibility, letting you quickly test and modify algorithms. This can improve your skills and confidence in machine learning development.
https://github.com/eriklindernoren/ML-From-Scratch
GitHub
GitHub - eriklindernoren/ML-From-Scratch: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models…
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear...