WHUTMENGMENG's starred repositories
stable-diffusion-webui
Stable Diffusion web UI
docker-nexus3
Dockerized version of Nexus Repo Manager 3
jenkins-zh
Jenkins 中文社区网站源码
micronet
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
MUNIT-Tensorflow
Simple Tensorflow implementation of "Multimodal Unsupervised Image-to-Image Translation" (ECCV 2018)
PyTorch-CycleGAN
此代码是一份可读性很高的CycleGAN的Pytorch实现
nsfw_data_scraper
Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
NICE-GAN-pytorch
Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
EfficientDet
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow
TuiGAN-PyTorch
PyTorch Implementation of ECCV 2020 Spotlight "TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images"
GAN_Metrics-Tensorflow
Simple Tensorflow implementation of metrics for GAN evaluation (Inception score, Frechet-Inception distance, Kernel-Inception distance)
GAN-Metrics
An empirical study on evaluation metrics of generative adversarial networks.
YOLOv3_TensorFlow
Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.
Faster-RCNN_TF
Faster-RCNN in Tensorflow
emotion-recognition-GAN
This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
collecting
Java+Bootstrap问卷平台