Awesome Machine Learning
Section: Python · A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym).
FreshScore 93
Entry
Gymnasium
Appears in 6 awesome lists
Gymnasium is an open source Python library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API.
Open github.comfarama-foundation/gymnasium
Found in these lists
Awesome Open Source AI
Section: 11. Specialized Domains · Standard RL environment API.
FreshScore 89
Awesome Production Machine Learning
Section: Industry Strength Reinforcement Learning · Gymnasium is an open source Python library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API.
FreshScore 92
Awesome Python
Section: Deep Learning · A standard API for reinforcement learning environments with popular reference environments (gym successor).
FreshScore 94
Awesome Python Data Science
Section: Reinforcement Learning · An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym).
ActiveScore 71
awesome-python
Section: Other · A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
FreshScore 81
Often listed next to it
TensorFlow
How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.
In 23 listsDetails
PyTorch
(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
In 16 listsDetails
Opik
Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…
In 16 listsDetails
transformers
(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…
In 14 listsDetails
Colossal-AI
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).
In 14 listsDetails
Ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io
In 13 listsDetails
Haystack
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…
In 13 listsDetails