oudeng

faiss

A library for efficient similarity search and clustering of dense vectors.

SESA

oudeng.github.io

Elegant theme for Jekyll.

pandas-ai

Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational

tree-of-thought-llm

Official Implementation of "Tree of Thoughts: Deliberate Problem Solving with Large Language Models"

Lhy_Machine_Learning

李宏毅2021/2022/2023春季机器学习课程课件及作业

2023-Big-Data-Driven-Artificial-Intelligence

CausalInferenceIntro

Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure

gym

A toolkit for developing and comparing reinforcement learning algorithms.

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

lingam

MAgent2

An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments

fry_course_materials

范仁义录播课资料，会依次推出各种完全免费的前端、后端、大数据、人工智能等课程，课程网站： https://fanrenyi.com ； b站课程地址： https://space.bilibili.com/45664489 ；

openai-python

CausalDiscoveryToolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

VectorizedMultiAgentSimulator

VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

mesa

Mesa is an agent-based modeling framework in Python

Reinforcement_Learning

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Python-plot-datapre

by Pandas, Matplotlib, Seaborn etc on popular datasets

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

jaxrl

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

MAgent

An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of reference environments

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

Twin_Causal_Nets

Estimating the probabilities of caution via deep monotonic twin networks

TimeSeriesAnalysisWithPython

pyNetLogo

DL_PaperStudy_LiMu

深度学习经典、新论文逐段精读

DL_Public_Health_Informatics

Epidemic_Models

SI, SIR, SIS, SEIR, SEIRS, SIRS