A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Visual analysis and diagnostic tools to facilitate machine learning model selection.

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

A collection of computer vision pre-trained models.

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

LAMA - automatic model creation framework

A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

EvalML is an AutoML library written in python.

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

A unified interface for optimization algorithms and experiments

Human-explainable AI.

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple agent/workflow framework

Time Series Cross-Validation -- an extension for scikit-learn

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

State-of-the art Automated Machine Learning python library for Tabular Data

Efficient phylogenomic software by maximum likelihood

Fit and compare complex models reliably and rapidly. Advanced nested sampling.

A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML products in production. It is a must-read for ML practitioners and Software Engineers Transitioning into ML.

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.

pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models

Mixing Language Models with Self-Verification and Meta-Verification

💪 🤔 Modern Super Learning with Machine Learning Pipelines

Measure and visualize machine learning model performance without the usual boilerplate.

LLM 비교 연구 기반 올인원 학습 허브 플랫폼 | GPT-4o · Gemini 2.0 Flash · Claude 4.5 Sonnet 의 정확도 분석을 토대로 학생들이 목적에 맞는 최적 모델을 선택하고 활용할 수 있도록 돕는 플랫폼을 제안합니다.

Python library for Bayesian hyper-parameters optimization