astroautomata / PySR
Symbolic Learning in Python and Julia
astroautomata / PySR
algorithmicsuperintelligence / openevolve
Open-source implementation of AlphaEvolve
thetahealth / mirobody
Mirror your body in data. One standard, every source, one complete picture of you: a self-hosted health record built from lab reports, wearables and genetics, with every number traced to its source and a built-in MCP server. Run it with Docker and one LLM key, or keep every model local on llama.cpp.
Optima-CityU / LLM4AD_Next
A next-generation automatic algorithm design platform, making automated algorithm design more accessible and easier to use
usmanch96 / QxbrokerFutures
⚡ Ultimate AI-Powered OTC Signal Engine & Predictor for Quotex and QXbroker. 90.57% verified win rate, automated Telegram alerts, and 24/7 autopilot.
biopython / biopython
Official git repository for Biopython (originally converted from CVS)
ClawBio / ClawBio
🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.
rittermod / FS25_RealisticLivestockRM
FS25_RealisticLivestock - Ritter version
thieu1995 / mealpy
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
astroautomata / SymbolicRegression.jl
Distributed High-Performance Symbolic Regression in Julia
google / deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
scikit-bio / scikit-bio
scikit-bio: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources.
haifengl / smile
Statistical Machine Intelligence & Learning Engine
ahmedfgad / GeneticAlgorithmPython
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Ecogenomics / GTDBTk
GTDB-Tk: a toolkit for assigning objective taxonomic classifications to bacterial and archaeal genomes.
hail-is / hail
Cloud-native genomic dataframes and batch computing
aimclub / FEDOT
Automated modeling and machine learning framework FEDOT
commonLuke / mario-neural-network
a neural network + genetic algorithm learns to play mario
raindrop668 / quantified-self-keto-protocol
A biohacking and metabolic debugging protocol for developers. Optimize fat loss & mental performance using genetic nutrigenomics.
esa / pagmo2
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
YuLab-SMU / ggtree
:christmas_tree:Visualization and annotation of phylogenetic trees
jenetics / jenetics
Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization
merenlab / anvio
An analysis and visualization platform for 'omics data
lucaspedroleandro9811-glitch / Gene-Splice-Lab
Aim Genetics Lab Open Research Tools 2026: Build Precision Breeding Models
hasnaaatef / aim-lab-orchestrator
Aim Genetics Lab: CRISPR Gene Editing & Bioinformatics Tools 2026
nemanja-m / gaps
A Genetic Algorithm-Based Solver for Jigsaw Puzzles :cyclone:
aaryansamanta / ai-research-publications
High-school research portfolio: 2 peer-reviewed publications (IEEE, IJHSR) + 3 active projects spanning quantum-inspired ML, computational biology, biomedical imaging, wildfire RL, and science-education research. Stanford Medicine, UCLA COSMOS & UCSB SRA affiliated.
i3T4AN / KADATH
Evolutionary multi-agent runtime that breeds, evaluates, and improves autonomous agents across reproducible epochs to converge on optimization of a goal.
Stxqq / self-driving-car
Self-driving car in plain JavaScript: a neural network evolved by a genetic algorithm drives highway traffic
tanghaibao / jcvi
Python library to facilitate genome assembly, annotation, and comparative genomics
Project-Platypus / Platypus
A Free and Open Source Python Library for Multiobjective Optimization
joey711 / phyloseq
phyloseq is a set of classes, wrappers, and tools (in R) to make it easier to import, store, and analyze phylogenetic sequencing data; and to reproducibly share that data and analysis with others. See the phyloseq front page: