Stable Baselines3
DLR-RM
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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Results: 86
DLR-RM
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
scikit-bio
scikit-bio: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources.
eriklindernoren
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from li…
vwxyzjn
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
uber
Uplift modeling and causal inference with machine learning algorithms
py-why
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic de…
Nixtla
Scalable and user friendly neural :brain: forecasting algorithms.
PennyLaneAI
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from…
Trusted-AI
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
MrForExample
An extensive node suite that enables ComfyUI to process 3D inputs (Mesh & UV Texture, etc) using cutting edge algorithms (3DGS, NeRF, etc.)
STVIR
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
zotroneneis
Plain python implementations of basic machine learning algorithms
XinJingHao
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SA…
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
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