deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1412)
An Open Source Machine Learning Framework for Everyone
Stable Diffusion web UI
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both i...
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Open Source Computer Vision Library
List of Computer Science courses with video lectures.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior...
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ....
Deep Learning for humans
Clone a voice in 5 seconds to generate arbitrary speech in real-time
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Ultralytics YOLO 🚀
Deepfakes Software For All
100 Days of ML Coding
Learn how to develop, deploy and iterate on production-grade ML applications.
12 Weeks, 24 Lessons, AI for All!
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Streamlit — A faster way to build and share data apps.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Making large AI models cheaper, faster and more accessible
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions....
AI-Powered Photos App for the Decentralized Web 🌈💎✨
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
We write your reusable computer vision tools. 💜
Pure Javascript OCR for more than 100 Languages 📖🎉🖥
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
Cross-platform, customizable ML solutions for live and streaming media.
Caffe: a fast open framework for deep learning.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
💫 Industrial-strength Natural Language Processing (NLP) in Python
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
500 AI Machine learning Deep learning Computer vision NLP Projects with code
深度学习经典、新论文逐段精读
Visualizer for neural network, deep learning and machine learning models
PyTorch Tutorial for Deep Learning Researchers
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover...
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Roadmap to becoming an Artificial Intelligence Expert in 2022
Code and documentation to train Stanford's Alpaca models, and generate the data.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matpl...
:memo: An awesome Data Science repository to learn and apply for real world problems.