a-chow-cse

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

INTR

This is an official implementation for [ICLR'24] INTR: Interpretable Transformer for Fine-grained Image Classification.

TPDD

diffusion_inversion

Code for "Training on Thin Air: Improve Image Classification with Generated Data"

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

AP-10K

NeurIPS 2021 Datasets and Benchmarks Track

CLAMP

OpenPartSeg

torchinfo

View model summaries in PyTorch!

Awesome-CLIP

Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

DiME

Official Code for the ACCV 2022 paper Diffusion Models for Counterfactual Explanations

lsun

LSUN Dataset Documentation and Demo Code

diffusion

Denoising Diffusion Probabilistic Models

minimal-diffusion

A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)

DVCEs

einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)