Open-source project that catalogs AI services and resources for browsing by feature or use case.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
"an experimental open-source attempt to make GPT-4 fully autonomous".
TorchServe is an open-source tool for serving, optimizing, and scaling PyTorch models in production. It offers quick start guides for TorchServe, conda, and Docker, and includes an announcement about security changes.
torchvista is an open-source tool that enables interactive visualization of PyTorch forward passes in Jupyter notebooks, maintained as a public GitHub repository under the sachinhosmani organization. It supports interactive drag-and-zoom graphs, collapsible nodes for hierarchical modules, and error-tolerant partial visualization when errors arise.
Tortoise TTS is an open-source multi-voice text-to-speech system hosted on the GitHub repository neonbjb/tortoise-tts, trained with an emphasis on output quality. An associated Hugging Face space for the project is available for demonstration.
traceAI is an open-source AI tracing framework built on OpenTelemetry for AI applications and frameworks. It captures LLM calls, prompts, token counts, retrieval steps and agent decisions as structured traces sent to any OTel-compatible backend. It provides drop-in instrumentation for supported AI frameworks across Python, TypeScript, Java and C#.
Traceloop OpenLLMetry is an open-source observability tool for GenAI and LLM applications, based on OpenTelemetry and maintained by Traceloop. It provides instrumentation for vector databases and frameworks, and includes documentation on getting started and supported destinations.
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.
Triton Inference Server is open source inference serving software that streamlines AI inferencing. It enables teams to deploy models from multiple deep learning and machine learning frameworks across cloud, data center, edge and embedded devices.
Open-source project that uses AI for speech, voice, transcription, music, or other audio workflows.
Tura is an open-source agent runtime harness that turns a task into a runtime-managed command graph, avoiding repeated model round trips in a ReAct session. The documentation describes it as a terminal-native developer tool that turns intent into verified code changes, emphasizing reading the repository first, keeping an audit trail, and proving results.
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Vaex is an open-source Python DataFrame library for working with large tabular datasets without loading them fully into memory. It supports lazy opening of CSV files and processing of hundreds of millions or billions of rows per second. The project also offers consultancy and training services.
Open-source project that provides conversational AI for questions, tasks, and general assistance.
VeritasGraph is an open-source knowledge graph and GraphRAG framework. It supports multi-hop reasoning, ontology-aware retrieval, and verifiable attribution over user data, using nodes, edges, RDF, and linked data. The project runs locally or in the cloud.
Vicuna-13B is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. Its code, weights and an online demo are publicly available for non-commercial use, and training cost around $300. The team reports a preliminary GPT-4-judged evaluation, described as non-scientific, showing more than 90% quality of ChatGPT and Bard.
VLFeat is an open-source library of computer vision algorithms focused on image understanding and local feature extraction and matching. Algorithms include SIFT, MSER, Fisher Vector, VLAD, k-means, SLIC superpixels, and SVM training. It is written in C with MATLAB interfaces and supports Windows, Mac OS X, and Linux.
vLLM is an open-source library for efficient serving of large language models. It provides an API server, supports offline and online inference, deployment options, and features such as automatic prefix caching, batch invariance, context extension, and speculative decoding. It can be used with GPUs, CPUs, and TPUs.
Open-source project that uses AI for speech, voice, transcription, music, or other audio workflows.
Open-source project that uses AI for speech, voice, transcription, music, or other audio workflows.