Stars
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Image-to-Image Translation in PyTorch
Oh my tmux! My self-contained, pretty & versatile tmux configuration made with 💛🩷💙🖤❤️🤍
StyleGAN - Official TensorFlow Implementation
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Image-to-image translation with conditional adversarial nets
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Synthesizing and manipulating 2048x1024 images with conditional GANs
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Image augmentation library in Python for machine learning.
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
LPIPS metric. pip install lpips
NVIDIA's Deep Imagination Team's PyTorch Library
Interactive Image Generation via Generative Adversarial Networks
[ICLR2025 Spotlight] SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
Deep Convolutional Generative Adversarial Networks
Multimodal Unsupervised Image-to-Image Translation
Deep learning software for colorizing black and white images with a few clicks.
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)