Ml Agents
Unity-Technologies
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agen…
Ml AutomationReview before use
19.5KGitHub
OPENAGENTSKILL / DIRECTORY
AI Agent Skills
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
Search retrieves candidates across the registry and ranks a bounded shortlist by task fit. This count is matching candidates, not the registry total. No suitable match? Try a specific tool or task.
Results · “learning-exercise”
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Results: 113
13.7KGitHub
15.7KGitHub
Burn
tracel-ai
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Ml AutomationReview before use
15.4KGitHub
Video2x
k4yt3x
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
Ml AutomationReview before use
20.3KGitHub
C Plus Plus
TheAlgorithms
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Ml AutomationReview before use
34.4KGitHub
Stable Baselines3
DLR-RM
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
13.4KGitHub
18.1KGitHub
Dlib
davisking
A toolkit for making real world machine learning and data analysis applications in C++
Ml AutomationReview before use
14.4KGitHub
9.8KGitHub
9.4KGitHub
Catboost
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python,…
Ml AutomationReview before use
9KGitHub
Doccano
doccano
Open source annotation tool for machine learning practitioners.
Ml AutomationReview before use
10.7KGitHub
H2o 3
h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…
Ml AutomationReview before use
7.5KGitHub
Cleanrl
vwxyzjn
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Ml AutomationReview before use
10.1KGitHub
Interpret
interpretml
Fit interpretable models. Explain blackbox machine learning.
Ml AutomationReview before use
6.9KGitHub
External platform skills
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