Pinned Repositories
deepbayes-2018
Seminars DeepBayes Summer School 2018
high426.github.io
srez
Image super-resolution through deep learning
subpixel
subpixel: A subpixel convnet for super resolution with Tensorflow
adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
Adversarial_Video_Generation
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
awesome-Face_Recognition
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
benchmark_results
visual tracker benchmark results
BookCNN
《深度卷积网络:原理与实践》
high426's Repositories
high426/research-contributions
Implementations of recent research prototypes/demonstrations using MONAI.
high426/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
high426/incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
high426/RSNA2019_Intracranial-Hemorrhage-Detection
Code for 1st Place Solution in Intracranial Hemorrhage Detection Challenge @ RSNA2019
high426/high426.github.io
high426/EDVR
Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks
high426/SRNTT
Image Super-Resolution by Neural Texture Transfer
high426/ResNeXt-DenseNet
PyTorch Implementation for ResNet, Pre-Activation ResNet, ResNeXt, DenseNet, and Group Normalisation
high426/edge-connect
EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. https://arxiv.org/abs/1901.00212
high426/ESRGAN
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)
high426/VideoSuperResolution
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
high426/awesome-Face_Recognition
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
high426/CodingInterviewChinese2
《剑指Offer》第二版源代码
high426/GCANet
Implementation of "Gated Context Aggregation Network for Image Dehazing and Deraining"
high426/EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
high426/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
high426/lihang-code
《统计学习方法》的代码实现
high426/Single-Image-Super-Resolution
A collection of high-impact and state-of-the-art SR methods
high426/benchmark_results
visual tracker benchmark results
high426/Face-and-Image-super-resolution
high426/deep_learning_object_detection
A paper list of object detection using deep learning.
high426/opencv_contrib
Repository for OpenCV's extra modules
high426/DeepInterests
深度有趣
high426/opencv
Open Source Computer Vision Library
high426/deepbayes-2018
Seminars DeepBayes Summer School 2018
high426/ganlab
GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks
high426/ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
high426/models
Models and examples built with TensorFlow
high426/vision
Datasets, Transforms and Models specific to Computer Vision
high426/SSD-Tensorflow
Single Shot MultiBox Detector in TensorFlow