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catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

category_encoders

A library of sklearn compatible categorical variable encoders

chinesechess-alphazero

Implement AlphaZero/AlphaGo Zero methods on Chinese chess.

clip

Contrastive Language-Image Pretraining

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

comp7015

comp7270

How to use sails create real estate rental system

comp7630

Simple Recommendation focus on Rating Prediction

cvxpy

A Python-embedded modeling language for convex optimization problems.

datascience

Curated list of Python resources for data science.

deap

Distributed Evolutionary Algorithms in Python

deep-finance

Datasets, papers and books on AI & Finance.

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

deepmatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

depthai

DepthAI Python API utilities, examples, and tutorials.

dopamine

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

douzero

[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI

dvc

🦉Data Version Control | Git for Data & Models

easyocr

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

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.

empyrical

Common financial risk and performance metrics. Used by zipline and pyfolio.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

feature_engine

Feature engineering package with sklearn like functionality

featuretools

An open source python library for automated feature engineering

ferret

Declarative web scraping

financedatabase

This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.