PDillis

StoryDiffusion

Create Magic Story!

Academic-project-page-template

A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

coding-interview-university

A complete computer science study plan to become a software engineer.

Transformer-Puzzles

Puzzles for exploring transformers

transformer-debugger

imagededup

😎 Finding duplicate images made easy!

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

perlin-numpy

A fast and simple perlin noise generator using numpy

StableTwoUnet

Diffusion-Pullback

Official Implementation of understanding the latent space of diffusion models through the lens of riemannian geometry (NeurIPS 2023)

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

pfgmpp

Code for ICML 2023 paper, "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"

ViT-Adapter

[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

tech-interview-handbook

💯 Curated coding interview preparation materials for busy software engineers

pytorch_compute_capabilities

pips

Particle Video Revisited

MaGNET

Official repository for MaGNET, ICLR 2022

robust_loss_pytorch

A pytorch port of google-research/google-research/robust_loss/

tiny-diffusion

A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.

DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

stylegan-t

[ICML'23] StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

diffusers-interpret

Diffusers-Interpret 🤗🧨🕵️‍♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.

captum

Model interpretability and understanding for PyTorch

pix2latent

Code for: Transforming and Projecting Images into Class-conditional Generative Networks

mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

sim2seg

Implementation of Sim2Seg (John So*, Amber Xie*, Sunggoo Jung, Jeffrey Edlund, Rohan Thakker, Ali-akbar Agha-mohammad, Pieter Abbeel, Stephen James)

aiaiart

Course content and resources for the AIAIART course.

umato

Uniform Manifold Approximation with Two-phase Optimization (IEEE VIS 2022 short)