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A latent text-to-image diffusion model
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Google Research
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Learn OpenCV : C++ and Python Examples
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
StableLM: Stability AI Language Models
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
This repository contains implementations and illustrative code to accompany DeepMind publications
The "Python Machine Learning (1st edition)" book code repository and info resource
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
PRML algorithms implemented in Python
High-Resolution Image Synthesis with Latent Diffusion Models
Foundational Models for State-of-the-Art Speech and Text Translation
Code release for NeRF (Neural Radiance Fields)
Best Practices, code samples, and documentation for Computer Vision.
LAVIS - A One-stop Library for Language-Vision Intelligence
TensorFlow Tutorials with YouTube Videos
PyTorch code and models for the DINOv2 self-supervised learning method.
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Build your neural network easy and fast, 莫烦Python中文教学
A collection of pre-trained, state-of-the-art models in the ONNX format
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
COCO API - Dataset @ http://cocodataset.org/
A scikit-learn compatible neural network library that wraps PyTorch
Taming Transformers for High-Resolution Image Synthesis