29 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Autonomous training loop for any sequential learning model — PPO, DQN, SAC, TD3,... | 9K | |
| Implementation of π₀, the robotic foundation model architecture proposed by Phys... | 9K | |
| A toolkit for generating small model. | 8K | |
| Python client library for format preserving encryption | 6K | |
| High-performance sensitivity analysis for large ordinary differential equation m... | 6K | |
| Python library to create Apple Passbook (.pkpass) files. | 6K | |
| A Library for Deep Reinforcement Learning | 3K | |
| Sandbox for Computational Protein Design | 2K | |
| A reinforcement learning algorithm library | 1K | |
| Utility library for CosmoStat | 1K | |
| RL-Toolkit: A Research Framework for Robotics | 969 | |
| This library provides tools and utilities for Few Shot Learning in Natural Langu... | 864 | |
| Vendored Basilisk SDK headers, runtime, and CMake integration for plugin authors | 830 | |
| Efficient portfolio-based verification of neural network properties | 571 | |
| Python package to provide gravitational waveform models | 408 | |
| Utilities to generate IHK Ausbildungsnachweise PDFs from human readable input fo... | 401 | |
| PSF leakage for shear catalogue data | 306 | |
| Virtual brain inference. | 303 | |
| An open-source Python library for Reinforcement Learning (RL), designed to model... | 196 | |
| A standard API for robust reinforcement learning and a diverse set of reference ... | 178 | |
| CLI for interacting with Mifare Classic 1K cards using an ACR122U NFC reader. | 175 | |
| A GUI to simplify the configuration and monitoring of RL training processes. | 138 | |
| Selector: Ensemble-Based Automated Algorithm Configuration | 132 | |
| A Bayesian RL Framework with Probabilistic Generative Models | 126 | |
| Python bindings for the Gesture Recognition Toolkit (GRT) | 114 | |
| The Open Planner Optimization Framework (OPOF) | 102 | |
| A lightweight reinforcement learning toolkit | 72 | |
| A toolkit for generating small model. | 48 | |
| Implementation of RL algorithms in PyTorch Lightning | 16 |