26 dependents
| Package | Description | Downloads/month |
|---|---|---|
| A complete MJCF lifecycle and trial orchestration suite for MuJoCo, powered by P... | 7K | |
| State-of-the art Automated Machine Learning python library for Tabular Data | 1K | |
| Make Data Scientist life Easier Tool | 1K | |
| Quoptuna is a Python package supporting over 20 quantum machine learning models ... | 1K | |
| AI Auto HPO (Hyperparameter Optimization) Client Library | 1K | |
| Optuna MCP Server operates, manages, and visualizes Optuna studies. | 1K | |
| A tool for submitting and managing distributed PyTorch jobs | 1K | |
| Hyperparameter optimizer for IMC Prosperity 3 algorithms with multi-objective op... | 965 | |
| Model architecture exploration for cryoET particle picking | 727 | |
| Simplify and accelerate your machine learning development with mleko. Designed w... | 543 | |
| A package for auto quantum machine learning-izing your experiments! | 499 | |
| A python machine learning module for for accelerating the discovery and synthesi... | 313 | |
| DeepTAN: A multi-task framework designed to infer multi-omics trait-associated n... | 304 | |
| A CLI-based tuner that runs multi-objective optimization on your ESPminer | 256 | |
| A Deep Learning framework for Side-channel Analysis in PyTorch | 223 | |
| A Fine-tuning assistant for large language models | 193 | |
| A distributed optimization package | 162 | |
| 有名的图像分类PyTorch库 (正在施工中 Working In Progress) | 152 | |
| Dual-extraction method for phenotypic prediction and functional gene mining of c... | 140 | |
| This library contains the code used to run a test job to AIRI. | 105 | |
| A flexible optimization tool that connects (hyper)parameter optimization engines... | 102 | |
| Optuna MCP Server operates, manages, and visualizes Optuna studies. | 91 | |
| Next Explora - yet another machine learning library | 74 | |
| PyDFLT | 71 | |
| Optuna MCP Server operates, manages, and visualizes Optuna studies. | 70 | |
| TempportalPredictionsKit: toolset for timeseries data predictions | 58 |
