Compiler technology to transform a valid Open Neural Network Exchange (ONNX) graph into code that implements the graph with minimum runtime support.
Directory
Models & Machine Learning
Models and machine learning covers model hubs, research papers, training guides and evaluation tools. The topic mixes practical resources with reference material, so you will find repositories that host downloadable models next to sites that explain how a technique works. Some entries are collections of papers or benchmarks, and others are tutorials that walk through fine-tuning or deployment. It pays to compare the model licence, the training data, the hardware needed and the date of the last update. The field moves quickly, so verify version notes on the source before you build on anything listed here.
An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).
A library that enables training PyTorch models with differential privacy.
A list of open LLMs available for commercial use.
Grok - An LLM by xAI with and open weights. opensource.
Source code and experiments results for TGS Salt Identification Challenge.
Source code and experiments results for Airbus Ship Detection Challenge.
Source code for Toxic Comment Classification Challenge.
Source code and experiments results for Santander Value Prediction Challenge.
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.
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.
Free and open source face recognition with deep neural networks.
OpenIntro provides machine-learning models, research, training resources, or evaluation tools.
Open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.
A PyTorch-based framework to train and validate the models producing high-quality embeddings.
Apache OpenNLP is a machine learning based toolkit for the processing of natural language text.
A real-time multi-person keypoint detection library for body, face, hands, and foot estimation.
Gitingest - Turn any Git repository into a simple text digest of its codebase so it can be fed into any LLM.
Jan - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs.
Open source computer vision API based on open source models.