🤗 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.
TranslatedGenerate HD short videos from a topic or keyword with an automated AI workflow.
Open Source Computer Vision Library
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your AI coding assistant into a full video production studio.
🧑🏫 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, ... 🧠
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.
TranslatedThe most comprehensive database of Chinese poetry 🧶 The most comprehensive database of ancient Chinese poetry, covering nearly 14,000 ancient poets of the Tang and Song dynasties, nearly 55,000 Tang poems plus 260,000 Song poems. 1,564 ci poets of the Song period, 21,050 ci poems.
Focus on prompting and generating
We write your reusable computer vision tools. 💜
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
🔊 Text-Prompted Generative Audio Model
Easily train a good VC model with voice data <= 10 mins!
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Cross-platform, customizable ML solutions for live and streaming media.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
TranslatedChinese word segmentation, part-of-speech tagging, named entity recognition, dependency parsing, constituency parsing, semantic dependency parsing, semantic role labeling, coreference resolution, style transfer, semantic similarity, new word discovery, keyword and keyphrase extraction, automatic summarization, text classification and clustering, pinyin and Simplified/Traditional Chinese conversion, natural language processing
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
💫 Industrial-strength Natural Language Processing (NLP) in Python