KaiQiao1992

OS-GNN

Over-Sampling Strategy in Feature Space for Graphs based Class-imbalanced Bot Detection

hdrnet

An implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017

easy-rl

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

DeepFaceLab

DeepFaceLab is the leading software for creating deepfakes.

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

PLMpapers

Must-read Papers on pre-trained language models.

Adversarial-Face-Attack

Black-Box Adversarial Attack on Public Face Recognition Systems

VQ-VAE

VQ-VAE implementation / pytorch

DISTS

IQA: Deep Image Structure and Texture Similarity Metric

ssfmri2im

Code for NeurIPS 2019 paper "From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI"

EEG-Classification

This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.

gan-qp

GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Tensorflow-MultiGPU-VAE-GAN

A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.

autoencoding_beyond_pixels

Generative image model with learned similarity measures

semantic-pyramid-pytorch

Implementation of Semantic Pyramid for Image Generation (https://arxiv.org/abs/2003.06221) in PyTorch

pytorch-pretrained-BigGAN

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

tfpyth

Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).

pytorch-mobilenet-v3

MobileNetV3 in pytorch and ImageNet pretrained models

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

supervised_infogan

A tensorflow implementation of informative generative adversarial network (InfoGAN ). I've added supervised loss to original InfoGAN.

pixel_models

Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL

pixelsnail-public

pixel-cnn

Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

pytorch-vqvae

Vector Quantized VAEs - PyTorch Implementation

Augmentor

Image augmentation library in Python for machine learning.

robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

models

Models and examples built with TensorFlow

pytorch_geometric

Graph Neural Network Library for PyTorch

mmdetection

OpenMMLab Detection Toolbox and Benchmark