wngaw

scikit-llm

Seamlessly integrate LLMs into scikit-learn.

dien

MogFace

An official code for MogFace

BlockSci

A high-performance tool for blockchain science and exploration

Archery

SQL 审核查询平台

orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

WalletWasabi

Open-source, non-custodial, privacy preserving Bitcoin wallet for Windows, Linux, and Mac.

autoxgb

XGBoost + Optuna

keras

Deep Learning for humans

cardano-node

The core component that is used to participate in a Cardano decentralised blockchain.

polkadot

Polkadot Node Implementation

chaosmonkey

Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.

h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

spaCy

💫 Industrial-strength Natural Language Processing (NLP) in Python

bitcoin

Bitcoin Core integration/staging tree

PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

mustache.github.com

The {{official}} website

hello-ltr

Set of Jupyter notebooks demonstrating Learning to Rank integrated with Solr and Elasticsearch

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

ranklib

A library of learning to rank algorithms

smogn

Synthetic Minority Over-Sampling Technique for Regression

category_encoders

A library of sklearn compatible categorical variable encoders

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.

just-pandas-things

An ongoing list of pandas quirks

machine-learning-systems-design

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

data-science-interviews

Data science interview questions and answers

spm1d

One-Dimensional Statistical Parametric Mapping in Python

cli

GitHub’s official command line tool

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.