Pinned Repositories
ademxapp
Code for https://arxiv.org/abs/1611.10080
caffe_srgan
A Caffe Implementation of SRGAN
DCor
Deep Correlations for Texture Synthesis
Deterministic-and-Stochastic-Synthesis-Network
Codes and models for the SIGGRAPH Asia 2018 paper "Image Super-Resolution via Deterministic-Stochastic Synthesis and Local Statistical Rectification".
Markdown-Chinese-Demo
针对中文,演示Markdown的各种语法
nn_visualization
神经网络可视化
pixel-recursive-super-resolution
Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)
Selective-Joint-Fine-tuning
Codes and models for the CVPR 2017 spotlight paper "Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning".
ZYYSny's Repositories
ZYYSny/Selective-Joint-Fine-tuning
Codes and models for the CVPR 2017 spotlight paper "Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning".
ZYYSny/Deterministic-and-Stochastic-Synthesis-Network
Codes and models for the SIGGRAPH Asia 2018 paper "Image Super-Resolution via Deterministic-Stochastic Synthesis and Local Statistical Rectification".
ZYYSny/caffe_srgan
A Caffe Implementation of SRGAN
ZYYSny/DCor
Deep Correlations for Texture Synthesis
ZYYSny/nn_visualization
神经网络可视化
ZYYSny/AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
ZYYSny/bier
Cleaned up reference implementation of BIER: Boosting Independent Embeddings Robustly.
ZYYSny/caffe-cvpr17
ZYYSny/caffenet-benchmark
Evaluation of the CNN design choices performance on ImageNet-2012.
ZYYSny/deepcover
DeepCover: Uncover Bugs in Deep Learning
ZYYSny/Faster-High-Res-Neural-Inpainting
High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
ZYYSny/FRRN
Full Resolution Residual Networks for Semantic Image Segmentation
ZYYSny/GNNPapers
Must-read papers on graph neural networks (GNN)
ZYYSny/Hard-Aware-Deeply-Cascaded-Embedding_release
Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"
ZYYSny/HKU-COMP8053
Paper Presentation
ZYYSny/Ipython-Notebook-Notes
ZYYSny/learning-to-learn
Learning to Learn in TensorFlow
ZYYSny/Memo
ZYYSny/Multi-Evidence-Filtering-and-Fusion-WSL
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning (CVPR 2018)
ZYYSny/Multi-Evidence-Fusion-and-Filtering-WSL
Multi-Evidence and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning (CVPR 2018)
ZYYSny/Neural-Decision-Forests
An implementation of the Deep Neural Decision Forests in PyTorch
ZYYSny/NTIRE2017
Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"
ZYYSny/Postdoc-Job-Talk-at-20190715
ZYYSny/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
ZYYSny/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
ZYYSny/SRGAN-tensorflow
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
ZYYSny/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
ZYYSny/tensorlayer
TensorLayer: Deep Learning and Reinforcement Learning Library for Researcher and Engineer.
ZYYSny/Thesis-Turnitin-Check-Results
ZYYSny/weifengge.github.io
Weifeng Ge - Homepage