diffusers
huggingface/diffusers
A Python library for pretrained diffusion pipelines, reusable components, and training examples.
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huggingface/diffusers
A Python library for pretrained diffusion pipelines, reusable components, and training examples.
harry0703/MoneyPrinterTurbo
An AI-assisted workflow for generating short videos from a topic or keywords.
sgl-project/sglang
SGLang is a high-performance serving framework for large language models and multimodal models.
lancedb/lancedb
An open-source, developer-friendly embedded retrieval library and multimodal AI lakehouse designed for fast, scalable, and production-ready vector search, built on the Lance columnar format.
xorbitsai/inference
A powerful and versatile library designed to serve language, speech recognition, and multimodal models. It allows users to swap GPT for any LLM by changing a single line of code and run models on cloud, on-prem, or locally via a unified, production-ready inference API.
mintplex-labs/anything-llm
An all-in-one, local-first AI application for chatting with documents, building AI agents, and running a private, multi-user ChatGPT-like experience with zero setup friction.
genkit-ai/genkit
Genkit is an open-source framework built and used in production by Google's Firebase for developing full-stack, AI-powered applications. It provides cross-language SDKs and unified APIs for integrating various AI models to build chatbots, automations, and recommendation systems.
nvidia-nemo/speech
A scalable generative AI framework built for researchers and PyTorch developers working on Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and Speech LLMs.
huggingface/transformers
A model-definition framework for state-of-the-art machine learning models across text, vision, audio, and multimodal domains, supporting both inference and training.
openai/whisper
Robust Speech Recognition via Large-Scale Weak Supervision
Tencent-Hunyuan/UniRL
UniRL is a Framework for Unified Multimodal Model Reinforcement Learning
NVIDIA/Isaac-GR00T
NVIDIA’s robot models and reference code offer multimodal action prediction, demonstration-data adaptation, fine-tuning and deployment tooling.
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