A real-time multi-person keypoint detection library for body, face, hands, and foot estimation.
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Apache OpenNLP is a machine learning based toolkit for the processing of natural language text.
A PyTorch-based framework to train and validate the models producing high-quality embeddings.
Open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.
OpenIntro provides machine-learning models, research, training resources, or evaluation tools.
Free and open source face recognition with deep neural networks.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Source code and experiments results for Santander Value Prediction Challenge.
Source code for Toxic Comment Classification Challenge.
Source code and experiments results for Airbus Ship Detection Challenge.
Source code and experiments results for TGS Salt Identification Challenge.
Grok - An LLM by xAI with and open weights. opensource.
A list of open LLMs available for commercial use.
A library that enables training PyTorch models with differential privacy.
An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).
Compiler technology to transform a valid Open Neural Network Exchange (ONNX) graph into code that implements the graph with minimum runtime support.
online demos provides machine-learning models, research, training resources, or evaluation tools.
OneFlow is a performance-centered and open-source deep learning framework.
An open-source cross-platform performance library for deep learning applications.