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A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Python 20,366 2,536 Updated Aug 15, 2024

[NeurIPS 2023] Implementation of Elastic Decision Transformer

C 32 4 Updated Oct 12, 2023

A curated list of Decision Transformer resources (continually updated)

730 30 Updated Nov 24, 2024

Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym

Python 252 25 Updated Jun 10, 2022

An All-MLP solution for Vision, from Google AI

Python 1,003 109 Updated Sep 13, 2024

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

Python 2,435 452 Updated Apr 29, 2024

Soft Actor-Critic

Python 1,018 236 Updated Nov 29, 2023

PyTorch implementation of SAC-Discrete.

Python 286 34 Updated Jul 25, 2024

PyTorch implementation of Soft Actor-Critic (SAC)

Jupyter Notebook 518 102 Updated Dec 5, 2021

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

Python 2,168 475 Updated Mar 14, 2024

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

Python 2,426 513 Updated Jan 22, 2022

Submission to https://pytorch.org/hub/

Python 1,402 245 Updated Apr 15, 2024

A scikit-learn compatible neural network library that wraps PyTorch

Jupyter Notebook 5,909 391 Updated Dec 11, 2024

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

Jupyter Notebook 20,454 5,407 Updated Jul 25, 2024

The fastai deep learning library

Jupyter Notebook 26,387 7,574 Updated Dec 14, 2024

CSCI 599 deep learning and its applications final project

Jupyter Notebook 151 71 Updated Mar 5, 2019

Repo for the Deep Reinforcement Learning Nanodegree program

Jupyter Notebook 4,937 2,348 Updated Nov 16, 2023

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Python 4,017 856 Updated Mar 24, 2023

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Python 15,883 4,882 Updated Aug 1, 2024

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

Python 3,642 829 Updated May 29, 2022

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Jupyter Notebook 4,237 623 Updated Jun 30, 2020

An open source python library for automated feature engineering

Python 7,301 879 Updated Dec 2, 2024

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

Jupyter Notebook 20,740 6,051 Updated Jul 13, 2023

Chinese Translation for Machine Learning Infographics

Python 3,376 928 Updated Sep 10, 2018

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Jupyter Notebook 10,590 1,378 Updated Nov 4, 2024

This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube

Python 647 365 Updated Jun 28, 2022

This is the Curriculum for "Machine Learning Journey" By Siraj Raval on Youtube

975 255 Updated Sep 2, 2018

A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

Python 33,620 7,589 Updated Dec 14, 2024

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

Python 1,757 753 Updated Oct 9, 2021

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

Jupyter Notebook 551 180 Updated Mar 30, 2020
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