EvaFlower

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, ... 🧠

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

DeepClustering

Methods and Implements of Deep Clustering

MAE-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

vq-vae-2-pytorch

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

papers_for_protein_design_using_DL

List of papers about Proteins Design using Deep Learning

IIC

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

DeepDPM

"DeepDPM: Deep Clustering With An Unknown Number of Clusters" [Ronen, Finder, and Freifeld, CVPR 2022]

RelativisticGAN

Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"

ic_gan

Official repository for the paper "Instance-Conditioned GAN" by Arantxa Casanova, Marlene Careil, Jakob Verbeek, Michał Drożdżal, Adriana Romero-Soriano.

webpage-template

Simple project webpage template. Originally used in Colorful Image Colorization. ECCV, 2016.

LSGM

The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)

awesome-AI-based-protein-design

A collection of research papers for AI-based protein design

ResNetVAE

Variational AutoEncoder + ResNet Transfer Learning

SPICE

IDEC

coco-labels

The labels for object categories in COCO dataset

IntroVAE

A pytorch implementation of Paper "IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis"

MedDG

a large-scale high-quality medical dialogue dataset

srVAE

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

NMCE-release

Code for Neural Manifold Clustering and Embedding

bezier-gan

Bézier Generative Adversarial Networks

Ace-Prompting

This repo open-source techniques to write better prompts

CEBGAN_JMD_2021

CEBGAN and airfoil optimization code associated with our accepted JMD 2021 paper: "Inverse Design of 2D Airfoils using Conditional Generative Models and Surrogate Log-Likelihoods."

Reproducing-Deep-Fair-Clustering