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arcade-learning-environment

The Arcade Learning Environment (ALE) -- a platform for AI research.

books

整理一些书籍 ,包含 C&C++ 、git 、Java、Keras 、Linux 、NLP 、Python 、Scala 、TensorFlow 、大数据 、推荐系统、数据库、数据挖掘 、机器学习 、深度学习 、算法等。

cebra

Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

chatgpt-retrieval-plugin

The ChatGPT Retrieval Plugin lets you easily search and find personal or work documents by asking questions in everyday language.

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持自定义函数插件，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python/C++/Go项目树剖析功能/项目源代码自译解能力，新增PDF和Word文献批量总结功能

connectngym

deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc

deeplearningexamples

Deep Learning Examples

deepreinforcementlearning_pytorch

Pytorch realization of multiple Deep Reinforcement Learning alogrithms(DQN,DDPG,TD3,PPO,A3C...) with openai gym

elegantrl

Cloud-native Deep Reinforcement Learning. 🔥

finrl

FinRL: Financial Reinforcement Learning. 🔥

finrl-tutorials

Tutorials. Please star.

gobigger-explore

Still struggling with the high threshold or looking for the appropriate baseline? Come here and new starters can also play with your own multi-agents!

ir-bpp

Packing irregular objects with deep reinforcement learning.

love-

amazing

ltsf-linear

This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"

maac

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

mae-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

manim

Animation engine for explanatory math videos

mcmg

MCMG_V1

okx

Python OKX API interface

open-science-prize-2022

prompt-engineering-guide

:octopus: Guides, papers, lecture, and resources for prompt engineering

python123

新建仓库，用于学习

pyzx

Python library for quantum circuit rewriting and optimisation using the ZX-calculus

qdataset

QDataSet: Quantum Datasets for Machine Learning

qlib

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

quantum

Hybrid Quantum-Classical Machine Learning in TensorFlow

quantum-languages-review

qubit-routing-with-rl

Qubit Routing using Reinforcement Learning