🤗 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
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🤗 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.
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
SGLang is a high-performance serving framework for large language models and multimodal models.
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Invoke is a leading creative engine that uses image and video generation models to empower professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry-leading application interface, and serves as the foundation for multiple commercial products.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
See, hear, and interact on your local devices.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
☁️ Build multimodal AI applications with cloud-native stack
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
Generate audiobooks from e-books, 50+ TTS engines with voice cloning and 1696 languages!
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)
Janus-Series: Unified Multimodal Understanding and Generation Models
FinRL®: Financial Reinforcement Learning. 🔥
🚀 Truly open-source AI avatar(digital human) toolkit for offline video generation and digital human cloning.
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).
A multi-voice TTS system trained with an emphasis on quality
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
An open source implementation of CLIP.