oudeng

feat

A feature engineering automation tool for learning data representations

deap

Distributed Evolutionary Algorithms in Python

Lhy_Machine_Learning

李宏毅2021/2022/2023春季机器学习课程课件及作业

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.

Twin_Causal_Nets

Estimating the probabilities of caution via deep monotonic twin networks

tigramite

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

2023-Big-Data-Driven-Artificial-Intelligence

2023-Big-Data-Driven-Artificial-Intelligence

U-Net

brain-segmentation-pytorch

U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI

SESA

tree-of-thought-llm

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

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

show-me-chatgpt-plugin

Create and edit diagrams in ChatGPT

pandas-ai

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

tree-of-thought-llm

[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

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)

jaxrl

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

attention-is-all-you-need-pytorch

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

CausalDiscoveryToolbox

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

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 ；

MAgent2

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

lingam

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.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

MAgent2

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

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

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Multi-Agent-Deep-Deterministic-Policy-Gradients

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm