gqkc Goto Github PK

annotated_deep_learning_paper_implementations

🧑‍🏫 50! 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, ... 🧠

avc_nips_2018

Code to reproduce the attacks and defenses for the entries "JeromeR" in the NIPS 2018 Adversarial Vision Challenge

closure

Systematic generalization test for CLEVR

ddpm

PyTorch DDPM implementation

debond-protocol.github.io

mfrl

Mean Field Multi-Agent Reinforcement Learning

multinomial_diffusion

neuraldialog-larl

PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

nft

personalcalendar

pytorch-vqvae

Vector Quantized VAEs - PyTorch Implementation

refer

Referring Expression Datasets API

sigdial

sigdial2020.github.io

smc-t-v2

vae-cvae-mnist

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

vilbert-multi-task

Multi Task Vision and Language

viz

vq-vae-2-pytorch

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

vqvae