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freeCodeCamp

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

Python

All Algorithms implemented in Python

ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

stable-diffusion

A latent text-to-image diffusion model

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

DragGAN

Official Code for DragGAN (SIGGRAPH 2023)

gym

A toolkit for developing and comparing reinforcement learning algorithms.

shap

A game theoretic approach to explain the output of any machine learning model.

apitable

🚀🎉📚 APITable, an API-oriented low-code platform for building collaborative apps and better than all other Airtable open-source alternatives.

easy-rl

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

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.

spark-nlp

State of the Art Natural Language Processing

dsq

Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and more.

EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

CnOCR

CnOCR: Awesome Chinese/English OCR Python toolkits based on PyTorch. It comes with 20+ well-trained models for different application scenarios and can be used directly after installation. 【基于 PyTorch/MXNet 的中文/英文 OCR Python 包。】

mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

yarr

yet another rss reader

pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

commafeed

Google Reader inspired self-hosted RSS reader.

DeepReinforcementLearning

A replica of the AlphaZero methodology for deep reinforcement learning in Python

Poker

Fully functional Pokerbot that works on PartyPoker, PokerStars and GGPoker, scraping tables with Open-CV (adaptable via gui) or neural network and making decisions based on a genetic algorithm and montecarlo simulation for poker equity calculation. Binaries can be downloaded with this link:

tensorstore

Library for reading and writing large multi-dimensional arrays.

powerlaw

Causalinference

Causal Inference in Python

mchmm

Markov Chains and Hidden Markov Models in Python

chinese-ai-writing-share

中文AI写作（写诗或写对联）

spark-sql-flow-plugin

Visualize column-level data lineage in Spark SQL

analytics-zoo

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

TopK-Insights

Python package to extract Top-K Insights from multi-dimensional data

psmatching

Propensity Score Matching Python Package