deep learning for image processing including classification and object-detection etc.
- pytorch
- tensorflow2
- classification
- object-detection
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deep learning for image processing including classification and object-detection etc.
The most cited deep learning papers
TranslatedPumpkin Book (南瓜书, Nangua Shu): Detailed explanations of the formulas in "Machine Learning" (the Watermelon Book, 西瓜书)
A game theoretic approach to explain the output of any machine learning model.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics
The fastai book, published as Jupyter Notebooks
Image-to-Image Translation in PyTorch
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
A brief computer graphics / rendering course
p5.js is a client-side JS platform that empowers artists, designers, students, and anyone to learn to code and express themselves creatively on the web. It is based on the core principles of Processing. Looking for p5.js 2.0? http://beta.p5js.org
Translated✅ (Completed) Super comprehensive deep learning notes [Tudui PyTorch] [Li Mu Dive into Deep Learning] [Andrew Ng Deep Learning] [Dafei LLM Agent]
TranslatedPArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (Core framework of 'PaddlePaddle' (飞桨, Feijiang), for deep learning & machine learning: high-performance single-machine and distributed training, and cross-platform deployment)
Graph Neural Network Library for PyTorch
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
TranslatedWords learning and English muscle memory training software designed for keyboard workers
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.