PDillis

tech-interview-handbook

💯 Curated coding interview preparation materials for busy software engineers

generative-ai-for-beginners

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

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

mediapipe

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

pytorch-grad-cam

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

Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

ConvNeXt

Code release for ConvNeXt model

DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

captum

Model interpretability and understanding for PyTorch

big_vision

Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

ViT-Adapter

[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

stylegan-t

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

GAN-Inversion

[TPAMI 2022] GAN Inversion: A Survey

transfuser

[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

Poisson_flow

Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)

geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

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.

aiaiart

Course content and resources for the AIAIART course.

pips

Particle Video Revisited

book_ros2

pfgmpp

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

diffusers-interpret

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

pix2latent

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

umato

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

hyperbolic_representation_learning

The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022

Diffusion-Pullback

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

pytorch_compute_capabilities

sim2seg

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

MaGNET

Official repository for MaGNET, ICLR 2022