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annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

capsgnn

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

cater

CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning

clevr2coco

The code to convert Clevr dataset to COCO type annotations

clevrer

PyTorch implementation of ICLR 2020 paper "CLEVRER: CoLlision Events for Video REpresentation and Reasoning"

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

deepsets

demo

Demo

demo2

django-boilerplate

Boilerplate to create Django project.

django-ecommerce

An e-commerce website built with Django

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

dockerscripts

Useful docker scripts for my everyday use

dqn

TensorFlow & Keras implementation of DQN with HER (Hindsight Experience Replay)

dspn

[NeurIPS 2019] Deep Set Prediction Networks

eccv-vn

executivelecturevisual-inspection

Explainable Defect Detection using Convolutional Neural Networks: Case Study

fdsa

A fully differentiable set autoencoder

fuzzy-dempster-shafer

A fuzzy machine learning algorithm utilizing Dempster-Shafer and Bayesian Theory

graphgym

Platform for designing and evaluating Graph Neural Networks (GNN)

gym-miniworld

Simple 3D interior simulator for RL & robotics research

habitat-lab

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

habitat-sim

A flexible, high-performance 3D simulator for Embodied AI research.

labelrelaxation

Supplementary material and code for the novel label relaxation approach as presented at AAAI21 by Julian Lienen and Eyke Hüllermeier.

ml-notebooks

:fire: A series of code examples for all sorts of machine learning tasks and applications.

mmaction2

OpenMMLab's Next Generation Action Understanding Toolbox and Benchmark

mmcv

OpenMMLab Computer Vision Foundation

numpy-ml

Machine learning, in numpy

objectpermanence

Code for our paper: *Shamsian, *Kleinfeld, Globerson & Chechik, "Learning Object Permanence from Video"

photorealistic-blocksworld

Dataset generator for the realistic blocksworld environment