qianguo123 Goto Github PK

adversarial-autoencoder

Tensorflow Code for Adversarial AutoEncoder(AAE)

adversarialautoencoder

Adversarial AutoEncoder implemented with MXNet

cae

Convolutional Auto Encoder implemented in Tensorflow

contractive_autoencoders

Contractive auto-encoders implementation in Tensorflow

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

few-shot-object-detection

Implementations of few-shot object detection benchmarks

fewshotpapers

This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.

focal-loss-keras

Focal Loss implementation in Keras

fpn.pytorch

Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection

fpn_tensorflow

A Tensorflow implementation of FPN detection framework.

gfr-dsod

Improving Object Detection from Scratch via Gated Feature Reuse (BMVC 2019)

gif

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

gpt_academic

为ChatGPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古, newbing, claude等

image_class

基于keras集成多种图像分类模型： VGG16、VGG19、InceptionV3、Xception、MobileNet、AlexNet、LeNet、ZF_Net、ResNet18、ResNet34、ResNet50、ResNet_101、ResNet_152、DenseNet

isat_with_segment_anything

Interactive semi-automatic image segmentation annotation tool.（交互式半自动图像分割标注工具）

isda-for-deep-networks

An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.

keras-retinanet

Keras implementation of RetinaNet object detection.

learningtocompare_fsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

mmdetection

Open MMLab Detection Toolbox and Benchmark

models

Models and examples built with TensorFlow

multilabel-image-classification-using-contractive-autoencoder

Implementing contractive auto encoder for encoding cloud images and using that encoding for multi label image classification

pot

POT : Python Optimal Transport

progressive_growing_of_gans_tensorflow

Tensorflow implementation of PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION

pytorch-studiogan

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

qianguo123.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

r3det_tensorflow

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

retinanet_tensorflow_rotation

Focal Loss for Dense Rotation Object Detection

sar-ship-dataset