Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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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.
OneFlow is a performance-centered and open-source deep learning framework.
An open-source cross-platform performance library for deep learning applications.
Fujitsu Research's post-training quantization pipeline for LLMs (QEP, AutoBit, JointQ, rotation) with vLLM plugin (arXiv:2603.28845).
A general statistics and machine learning library.
Serve Llama 2 and other large language models locally from command line or through a browser interface.
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.
Free open-source SPSS alternative — menu-driven desktop statistics (t-tests, ANOVA, regression, survival analysis, ROC) with SPSS.sav import/export.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source module for running AI workloads on Kubernetes in an optimized way.
A completely unstable and experimental package that extends Torch's builtin nn library.