GNU Octave is a high-level interpreted language, primarily intended for numerical computations.(Free Matlab).
Directory
Search results
Published directory entries matching your search.
Serve Llama 2 and other large language models locally from command line or through a browser interface.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Voice AI that turns calls into outcomes - and gets sharper with each one. Our own model, built for the phone. Sub-400ms response. Live in days.
Fujitsu Research's post-training quantization pipeline for LLMs (QEP, AutoBit, JointQ, rotation) with vLLM plugin (arXiv:2603.28845).
An open-source cross-platform performance library for deep learning applications.
OneFlow is a performance-centered and open-source deep learning framework.
Compiler technology to transform a valid Open Neural Network Exchange (ONNX) graph into code that implements the graph with minimum runtime support.
An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
Free and open source face recognition with deep neural networks.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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.
A real-time multi-person keypoint detection library for body, face, hands, and foot estimation.