🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
- nlp
- natural-language-processing
- pytorch
- pytorch-transformers
Repository Index
47,133 repositories indexed
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Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
- rag
- localai
- vector-database
- llm
A post-modern modal text editor.
- text-editor
- vim
- rust
- kakoune
The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
- agent
- vlm
- vision
- computer-use
SGLang is a high-performance serving framework for large language models and multimodal models.
Build and run agents you can see, understand and trust.
See, hear, and interact on your local devices.
- minicpm
- minicpm-v
- multi-modal
- minicpm-o
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
- semantic-search
- information-retrieval
- ai
- python
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
"RAG-Anything: All-in-One RAG Framework"
- multi-modal-rag
- retrieval-augmented-generation
A beautiful replacement for JavaScript's "alert"
- modal
- sweetalert
- javascript
- popup
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
- nlp
- pre-trained-model
- unilm
- minilm
YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context
☁️ Build multimodal AI applications with cloud-native stack
- neural-search
- cloud-native
- deep-learning
- machine-learning
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
- machine-translation
- speaker-recognition
- asr
- tts
✨ A beautiful, responsive, highly customizable and accessible (WAI-ARIA) replacement for JavaScript's popup boxes. Zero dependencies. 🇺🇦🇪🇺
- sweetalert
- alert
- popup
- prompt
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
- instruction-tuning
- instruction-following
- large-vision-language-model
- visual-instruction-tuning
Janus-Series: Unified Multimodal Understanding and Generation Models
- any-to-any
- foundation-models
- llm
- multimodal
Open Source framework for voice agents, multimodal apps, and realtime AI. Maintained by Daily and the community.
- ai
- real-time
- voice
- voice-assistant
🚀 Truly open-source AI avatar(digital human) toolkit for offline video generation and digital human cloning.
- ai-avatar
- ai-avatars
- digital-human
- video-generation
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).
An open source implementation of CLIP.
- deep-learning
- pytorch
- computer-vision
- language-model
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
- bert
- sentence-encoding
- deep-learning
- clip-model