autogluon / autogluon

Fast and Accurate ML in 3 Lines of Code

algorithmicsuperintelligence / openevolve

Open-source implementation of AlphaEvolve

h2oai / 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.

microsoft / bioemu

Inference code for scalable emulation of protein equilibrium ensembles with generative deep learning

yzhao062 / pyod

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

mljar / mljar-supervised

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

ekzhu / datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

JuliaAI / MLJ.jl

A Julia machine learning framework

ZFTurbo / Weighted-Boxes-Fusion

Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.

dfm / emcee

The Python ensemble sampling toolkit for affine-invariant MCMC

scverse / gget

🧬 gget enables efficient querying of genomic reference databases

EnnengYang / Awesome-Model-Merging-Methods-Theories-Applications

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.

sunrainyg / RandOpt

Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights" (ICML 2026 Spotlight)

earthgecko / skyline

Real-time anomaly detection for time series metrics. 11 years of production anomaly detection evolution. Multi-algorithm ensembles. Pattern recognition using semi-supervised and unsupervised learning. Correlation analysis. Learns and gets better over time. No GPU required, can run on a VPS.

pySTEPS / pysteps

Python framework for short-term ensemble prediction systems.

kochlisGit / ProphitBet-Soccer-Bets-Predictor

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

Ensembl / ensembl-vep

The Ensembl Variant Effect Predictor predicts the functional effects of genomic variants

krishagarwal314 / CodeJury

Terminal-first, knowledge-grounded multi-agent software delivery pipeline: scope requirements, implement changes, run tests, and gate pull requests with deterministic QA and ensemble code review.

natera-open-source / vep-rs

A fast, memory-efficient variant effect predictor written in Rust: a from-scratch reimplementation of the Ensembl Variant Effect Predictor (VEP) that takes the same inputs and flags, emits VEP's consequence vocabulary in VEP's output formats, and annotates population-scale callsets two orders of magnitude faster than the Perl implementation.

ECLIPSE-AI4Science / gradsolve

Differentiable ensemble solvers for differential equations on GPUs, in JAX