Speech recognition toolkit with streaming ASR, VAD, punctuation, speaker diarization, and OpenAI-compatible serving for voice AI applications.
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A no-coding course by NVIDIA that presents Generative AI concepts and applications, as well as the challenges and opportunities in the field.
GMS Flags is a tool for changing parameters in Google services to activate or deactivate certain functionality in Google applications
Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).
Modular pipelines for retrieval and generative AI applications.
"building applications with LLMs through composability".
A framework for elegantly configuring complex applications.
Anonymous network software for private peer-to-peer services and hidden web applications.
AI-native database built for LLM applications, providing incredibly fast vector and full-text search.
Generative AI Image Toolset with GANs and Diffusion for Real-World Applications.
An international journal devoted to applications of statistical methods at large.
Respan unifies LLM observability, evals, prompt optimization, and an AI gateway so teams can ship reliable AI applications.
FastAPI framework to build production-grade LLM applications.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Introduction to machine learning covering basic theory, algorithms and applications.
Pretrain computer vision models on unlabeled data for industrial applications.
A comprehensive toolkit to build Machine Learning applications with Rust.
LlamaIndex is a data framework for your LLM applications.
A data framework for building LLM applications over external data.
LLMFlows is a framework for building simple, explicit, and transparent LLM applications such as chatbots, question-answering systems, and agents.
Universal memory service with semantic search, autonomous consolidation, and multi-client support for AI applications.
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
Deep learning foundations and applications.
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.