gqkc

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

pytorch-vqvae

Vector Quantized VAEs - PyTorch Implementation

viz

gqkc/viz

gqkc/pytorch-vqvae

Vector Quantized VAEs - PyTorch Implementation

gqkc/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, ... 🧠

gqkc/avc_nips_2018

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

gqkc/CLOSURE

Systematic generalization test for CLEVR

gqkc/DDPM

PyTorch DDPM implementation

gqkc/Debond-Protocol.github.io

gqkc/mfrl

Mean Field Multi-Agent Reinforcement Learning

gqkc/multinomial_diffusion

gqkc/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

gqkc/nft

gqkc/personalCalendar

gqkc/refer

Referring Expression Datasets API

gqkc/sigdial

gqkc/sigdial2020.github.io

gqkc/SMC-T-v2

gqkc/VAE-CVAE-MNIST

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

gqkc/vilbert-multi-task

Multi Task Vision and Language

gqkc/vq-vae-2-pytorch

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

gqkc/vqvae