Statistics for topic deep-learning
RepositoryStats tracks 559,058 Github repositories, of these 8,104 are tagged with the deep-learning topic. The most common primary language for repositories using this topic is Python (4,945). Other languages include: Jupyter Notebook (1,450), C++ (275), JavaScript (100), HTML (79), Java (42), MATLAB (41), C (39), TypeScript (37), C# (35)
Stargazers over time for topic deep-learning
Most starred repositories for topic deep-learning (view more)
Trending repositories for topic deep-learning (view more)
Tensors and Dynamic neural networks in Python with strong GPU acceleration
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).
Code for our paper "VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters".
RobustSAM: Segment Anything Robustly on Degraded Images (CVPR 2024 Highlight)
We release `LOBFrame', a novel, open-source code base which presents a renewed way to process large-scale Limit Order Book (LOB) data.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Code for our paper "VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters".
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).
吴恩达《ChatGPT Prompt Engineering for Developers》课程中英版
Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI
Code for our paper "VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters".
Minimal code and examnples for inferencing Sapiens foundation human models in Pytorch
Survey: A collection of AWESOME papers and resources on the latest research in Mixture of Experts.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
Lightning-fast serving engine for AI models. Flexible. Easy. Enterprise-scale.
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI
Lightning-fast serving engine for AI models. Flexible. Easy. Enterprise-scale.
Self contained pytorch implementation of a sinkhorn based router, for mixture of experts or otherwise
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...
EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
Desktop app for automatically translating comics - BDs, Manga, Manhwa, Fumetti and more in a variety of formats (Image, Pdf, Epub, cbr, cbz, etc) and in multiple languages.
Web UI for AutoGen (A Framework Multi-Agent LLM Applications)
From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)