janghyuk-choi

awesome-generative-ai

A curated list of modern Generative Artificial Intelligence projects and services

techniques

Techniques for deep learning with satellite & aerial imagery

object-centric-learning-framework

COLF

Compositional Object Light Fields code

EmpGPT-3

Official code for our COLING 2022 paper: In-Context Learning for Empathetic Dialogue Generation

KMRE

Korean Moview Review Emotion (KMRE) Dataset

EmoNSMC

Korean large emotion labeled dataset (EmoNSMC)

slot-attention-lightning

clevr-dataset-gen

A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

SLASH

AST

Original implementation of the AST model described in the paper "Unsupervised Multi-object Segmentation Using Attention and Soft-argmax"

sysbinder

Official Code for Neural Systematic Binder

steve

Official code for Slot-Transformer for Videos (STEVE)

CutLER

Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"

hydra

Hydra is a framework for elegantly configuring complex applications

lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

Super-CLEVR

Code for paper "Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning"

SlotVPS

The official project for the paper: Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation, CVPR 2022

pytorch_morphological_dilation2d_erosion2d

An implementation for image (tensor) morphological dilation2d and erosion2d in pytorch

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

srt

Independent PyTorch implementation of Scene Representation Transformer

sunds

kubric

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

clevr_with_mask

CAE

This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"

TimeSformer

The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

CapsNet-Tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

Pytorch-CapsuleNet

An easy-to-follow Pytorch implementation of Hinton's Capsule Network