wotmd5731's Stars
koreainvestment/open-trading-api
Korea Investment & Securities Open API Github https://apiportal.koreainvestment.com
xai-org/grok-1
Grok open release
teddylee777/machine-learning
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
pyscript/pyscript
PyScript is an open source platform for Python in the browser. Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2
steveicarus/iverilog
Icarus Verilog
jinbeizame007/pytorch-r2d2-DPG
PyTorch implementation of R2D2 (Recurrent Replay Distributed DPG (not DQN))
andreasveit/densenet-pytorch
A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)
sfujim/BCQ
Author's PyTorch implementation of BCQ for continuous and discrete actions
Kaixhin/PlaNet
Deep Planning Network: Control from pixels by latent planning with learned dynamics
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
meltycriss/maddpg
sfujim/TD3
Author's PyTorch implementation of TD3 for OpenAI gym tasks
sudharsan13296/Hands-On-Reinforcement-Learning-With-Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
marctuscher/DRQN-tensorflow
Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
kekmodel/rl_pytorch
Deep Reinforcement Learning Algorithms Implementation in PyTorch
Kismuz/btgym
Scalable, event-driven, deep-learning-friendly backtesting library
ducandu/RL-Implementation-IMPALA
A Test-Implementation of the IMPALA algorithm (by deepmind 2018)
higgsfield/Imagination-Augmented-Agents
Building Agents with Imagination: pytorch step-by-step implementation
google-deepmind/scalable_agent
A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
google-deepmind/trfl
TensorFlow Reinforcement Learning
cornellius-gp/gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
MillionIntegrals/vel
Velocity in deep-learning research
higgsfield/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
google/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
higgsfield-ai/higgsfield
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
reinforcement-learning-kr/pg_travel
Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)
qfettes/DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
TianhongDai/reinforcement-learning-algorithms
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
wotmd5731/pytorch-basic
pytorch basic source code