#Deep-learning
Showing 60 of 5846 repositories tagged #deep-learning, ranked by stars
An Open Source Machine Learning Framework for Everyone
Stable Diffusion web UI
๐ค 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.
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.
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๐ Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
๐งโ๐ซ 60+ Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
Deep Learning for humans
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Ultralytics YOLO26, YOLO11, YOLOv8 โ object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
Deepfakes Software For All
Extracted system prompts from Anthropic - Claude Fable 5, Opus 4.8, Claude Code, Claude Design. OpenAI - ChatGPT 5.5 Thinking, GPT 5.5 Instant, Codex. Google - Gemini 3.5 Flash, 3.1 Pro, Antigravity. xAI - Grok, Cursor, Copilot, VS Code, Perplexity, and more. Updated regularly.
12 Weeks, 24 Lessons, AI for All!
100 Days of ML Coding
Learn how to develop, deploy and iterate on production-grade ML applications.
We write your reusable computer vision tools. ๐
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
๐ธ๐ฌ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Streamlit โ A faster way to build and share data apps.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Build and share delightful machine learning apps, all in Python. ๐ Star to support our work!
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
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Pure Javascript OCR for more than 100 Languages ๐๐๐ฅ
Learn it. Build it. Ship it for others.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
๐Clone a voice in 5 seconds to generate arbitrary speech in real-time
Cross-platform, customizable ML solutions for live and streaming media.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Caffe: a fast open framework for deep learning.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
๐ค 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
๐ซ Industrial-strength Natural Language Processing (NLP) in Python
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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 everything from linear regression to deep learning.
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.
๐ Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
:memo: An awesome Data Science repository to learn and apply for real world problems.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A complete daily plan for studying to become a machine learning engineer.
A curated list of awesome Deep Learning tutorials, projects and communities.
Deezer source separation library including pretrained models.
SoftVC VITS Singing Voice Conversion
The fastai deep learning library
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Machine Learning Systems
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.