Stars
Google Research
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
The fastai book, published as Jupyter Notebooks
Learn OpenCV : C++ and Python Examples
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
High-Resolution Image Synthesis with Latent Diffusion Models
PyTorch code and models for the DINOv2 self-supervised learning method.
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM …
Understanding Deep Learning - Simon J.D. Prince
Image restoration with neural networks but without learning.
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…
Taming Transformers for High-Resolution Image Synthesis
The Udacity open source self-driving car project
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
"Probabilistic Machine Learning" - a book series by Kevin Murphy
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-acti…
Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.
Fast and Easy Infinite Neural Networks in Python
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
A suite of image and video neural tokenizers
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)