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detectron2

Appears in 7 awesome lists

FAIR's next-generation research platform for object detection and segmentation. It is a ground-up rewrite of the previous version, Detectron, and is powered by the PyTorch deep learning framework.

Open github.comfacebookresearch/detectron2

Found in these lists

Awesome Machine Learning

Section: Python · FAIR's next-generation research platform for object detection and segmentation. It is a ground-up rewrite of the previous version, Detectron, and is powered by the PyTorch deep learning framework.

FreshScore 93

Awesome Open Source AI

Section: 11. Specialized Domains · High-performance object detection library.

FreshScore 89

Awesome Production Machine Learning

Section: Industry Strength Computer Vision · Detectron2 is Facebook AI Research's next generation library that provides state-of-the-art detection and segmentation algorithms.

FreshScore 92

Awesome-Pytorch-list

Section: CV: · Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

FreshScore 88

Awesome Robotic Tooling

Section: Image Processing · A next-generation research platform for object detection and segmentation.

StaleScore 54

Computer Vision Pretrained Models

Section: PyTorch · Detectron2 is Facebook AI Research's next generation software system that implements state-of-the-art object detection algorithms

StaleScore 50

awesome-python

Section: Other · Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

FreshScore 81

TensorFlow

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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.

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Opik

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transformers

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Colossal-AI

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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

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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,…

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XGBoost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow. [Apache2]

In 11 listsDetails