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gitlab-mlops
GitLab ModelOps
No description available
insper-mlops
Insper CDIA <[email protected]>
A command-line tool to standardize the creation of MLOps projects at Insper CDIA.
misiss-mlops
Nikolai
A short description of the project.
mlops-core
Anirudh Aggarwal
No description available
mlops-forge
Taimoor Khan
A complete production-ready MLOps framework with built-in distributed training, monitoring, and CI/CD.
mlops-fropych
Yaroslav
A short description of the project.
rl
Stefan H. Holek
Alternative Python bindings for GNU Readline
rl8
Andrew B.
A high throughput, end-to-end RL library for infinite-horizon tasks.
rl-insight
rl-insight contributors
Performance insight tools for reinforcement learning frameworks.
a2rl
AWS/ProServe Global Team
Make recommendations for sequential decision problems using offline data
academia-rl
krezelj <[email protected]>, guts <[email protected]>, maciejors <[email protected]>
Easy-to-use tools for Curriculum Learning
adaro-rl
Lucas SCHOTT <[email protected]>
A Unified Framework of Adversarial Attacks for Robustness of Deep Reinforcement Learning
anvil-rl
Rohan Tangri
Adaptable tools to make reinforcement learning algorithms
bz2_rl
Michiel Sikma
Helper class for processing large bzip2 compressed text files efficiently without high memory usage.
catalyst-rl
Sergey Kolesnikov
Catalyst.RL. PyTorch framework for RL research.
code-rl
Dheeraj Pai
Code RL
ui-rl
Tobias Norlund <[email protected]>
Reinforcement Fine-tuning for Computer Use models
vamos-rl
Mark Towers
An API for JAX-based Reinforcement Learning Environments