🤗 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
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🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
- deep-learning
- diffusion
- image-generation
- pytorch
State-of-the-art 2D and 3D Face Analysis Project
- face-recognition
- face-detection
- mxnet
- face-alignment
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
- natural-language-processing
- machine-learning
- named-entity-recognition
- machine-translation
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
- adapter
- diffusion
- llm
- parameter-efficient-learning
State-of-the-Art Embeddings, Retrieval, and Reranking
Open-source State-of-the-art TTS model which runs on a CPU 😻
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
- browser
- javascript
- transformers
- webml
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
- computer-vision
- deep-learning
- drug-discovery
- forecasting
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
- scaled-yolov4
- yolor
- yolov3
- yolov4
Agent S: the state-of-the-art open source computer use agents
- agent-computer-interface
- ai-agents
- computer-automation
- gui-agents
Foundational Models for State-of-the-Art Speech and Text Translation
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
- nlp
- natural-language-processing
- natural-language-understanding
- language-model
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
A collection of pre-trained, state-of-the-art models in the ONNX format
- onnx
- models
- download
- pretrained
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
Awesome curated collection of images and prompts generated by gemini-2.5-flash-image (aka Nano Banana) state-of-the-art image generation and editing model. Explore AI generated visuals created with Gemini, showcasing Google’s advanced image generation capabilities.
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
- auto-regressive-model
- diffusion-models
- image-generation
- transformers
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.