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
StyleGAN - Official TensorFlow Implementation
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
Synthesizing and manipulating 2048x1024 images with conditional GANs
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Image augmentation library in Python for machine learning.
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)
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
Code for the paper "Improved Techniques for Training GANs"
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
pix2pix3D: Generating 3D Objects from 2D User Inputs
pip install antialiased-cnns to improve stability and accuracy
Official repository for BrickGPT, the first approach for generating physically stable toy brick models from text prompts.
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
Toward Multimodal Image-to-Image Translation