Scientific Software
Updated 6 months ago

DeepHyper — Peer-reviewed • Rank 17.6 • Science 95%

DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning - Published in JOSS (2025)

Scientific Software
Updated 6 months ago

BayesO — Peer-reviewed • Rank 10.8 • Science 98%

BayesO: A Bayesian optimization framework in Python - Published in JOSS (2023)

Artificial Intelligence and Machine Learning (31%)
Scientific Software · Peer-reviewed
Scientific Software
Updated 6 months ago

ECabc — Peer-reviewed • Rank 9.5 • Science 98%

ECabc: A feature tuning program focused on Artificial Neural Network hyperparameters - Published in JOSS (2019)

Scientific Software
Updated 6 months ago

Osprey — Peer-reviewed • Rank 11.4 • Science 95%

Osprey: Hyperparameter Optimization for Machine Learning - Published in JOSS (2016)

Artificial Intelligence and Machine Learning (32%)
Scientific Software · Peer-reviewed
Updated 6 months ago

neural-pipeline-search • Rank 12.8 • Science 64%

Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.

Updated 5 months ago

Robyn • Rank 19.7 • Science 26%

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

Updated 6 months ago

hyperas • Rank 19.9 • Science 10%

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Updated 5 months ago

https://github.com/project-codeflare/codeflare • Rank 13.3 • Science 10%

Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.

Updated 6 months ago

syne-tune • Science 54%

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

Updated 6 months ago

dpl • Science 44%

[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.

Updated 6 months ago

mlp_hpp_analysis • Science 57%

This repository is the code basis for the paper intitled "Exploring the Intricacies of Neural Network Optimization"

Updated 6 months ago

propulate • Science 75%

Propulate is an asynchronous population-based optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.

Updated 5 months ago

https://github.com/ahmedshahriar/customer-churn-prediction • Science 13%

Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.

Updated 6 months ago

dpl • Science 26%

[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.

Updated 6 months ago

dashai • Science 36%

DashAI provides a simple graphical user interface (GUI) that guides users through a step-by-step process through creating, training, and saving a model.

Updated 6 months ago

agilerl • Science 54%

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

Updated 6 months ago

lfads-torch • Science 36%

A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

Updated 6 months ago

gama • Science 67%

An automated machine learning tool aimed to facilitate AutoML research.

Updated 5 months ago

https://github.com/axect/pytorch_template • Science 26%

A flexible PyTorch template for ML experiments with configuration management, logging, and hyperparameter optimization.