🎯 A comprehensive gradient-free optimization framework written in Python
- metaheuristics
- optimization
- optimization-algorithms
- python
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🎯 A comprehensive gradient-free optimization framework written in Python
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Curated (meta)list of resources for Biology.
A framework for continual learning and recursive self-improvement through harness adapter evolution.
Harness self-evolution: update targets, theory, evaluation, and reported evidence. Bilingual reading list and project website.
Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"
Provides utilities for Postgres database schema versioning. This is being superseded by work done at https://codeberg.org/perseas/perseid.
Scikit-learn for Recursive Self-improvement (RSI). A modular framework for recursive harness evolution.
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
Official repository for the paper “RSIPO: Recursive Self-Improving Policy Optimization for Agentic Reinforcement Learning via Skill-Policy Co-Evolution”
A hyperparameter optimization framework, inspired by Optuna.
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
Learn Clean Architecture with .NET Core 3.0 :fire:
Examples of implementation CQRS with Event Sourcing - evolutionary approach
Looking Ahead: Modeling Future Evolution in Autoregressive Video Generation
Programmatic modification and evaluation of software
Install R packages from snapshots on checkpoint-server
Building a population of models that trade crypto and mutate iteratively
Database schema evolution library for Go
Warp is a feature-rich framework for multiplayer games, written in GameMaker and NodeJS (previously GM-Online-Framework)
Examples of implementation CQRS with Event Sourcing - evolutionary approach
A set of neuroevolution experiments with/towards deep networks
CEKit - Container Evolution Kit
An Elixir Evolutive Neural Network framework à la G.Sher