🤗 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.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the world.
TranslatedGenerate HD short videos from a topic or keyword with an automated AI workflow.
Robust Speech Recognition via Large-Scale Weak Supervision
Tensors and Dynamic neural networks in Python with strong GPU acceleration
real time face swap and one-click video deepfake with only a single image
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
Write HTML. Render video. Built for agents.
Tesseract Open Source OCR Engine (main repository)
Source code for the X Recommendation Algorithm
scikit-learn: machine learning in Python
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
The world's simplest facial recognition api for Python and the command line
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Port of OpenAI's Whisper model in C/C++
We write your reusable computer vision tools. 💜
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Making large AI models cheaper, faster and more accessible
Easily train a good VC model with voice data <= 10 mins!
Instant voice cloning by MIT and MyShell. Audio foundation model.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.