Open-source project that uses AI for speech, voice, transcription, music, or other audio workflows.
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Open-source project that uses AI for speech, voice, transcription, music, or other audio workflows.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
Open-source project that uses AI to create, edit, transform, or animate video content.
Open-source project that uses AI for speech, voice, transcription, music, or other audio workflows.
Open-source project that catalogs AI services and resources for browsing by feature or use case.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that uses AI for speech, voice, transcription, music, or other audio workflows.
Open-source project that supports software development with code generation, analysis, debugging, or documentation.
A super-easy way to record, search and compare 1000s of ML training runs.
Platform for Neural Network Search (NAS) that allows you to generate efficient deep networks for your applications.
The broad reference for classical AI, including search, reasoning, planning, learning, and robotics.
Automatic architecture search and hyperparameter optimization for PyTorch.
Helps find, analyze or synthesize information for research and knowledge discovery.
Open-source search infrastructure for AI.
LinkedIn's generalized metadata search & discovery tool.
Listof - Community based data collection, packed in gem. Get list of pretty much anything (stop words, countries, non words) in txt, JSON or hash.
Basic proof of concept for genetic architecture search in Keras.
Example of RAG architecture using semantic search and summarization for retrieving Bible passages.
Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).
AI-native database built for LLM applications, providing incredibly fast vector and full-text search.
Universal memory service with semantic search, autonomous consolidation, and multi-client support for AI applications.
Blazing fast, lightweight and customizable fuzzy and semantic text search in Python with fuzzywuzzy/thefuzz compatible API.
Semantic search and workflows powered by language models.