ZYYSny's repositories
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".
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".
caffe_srgan
A Caffe Implementation of SRGAN
nn_visualization
神经网络可视化
AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
bier
Cleaned up reference implementation of BIER: Boosting Independent Embeddings Robustly.
caffenet-benchmark
Evaluation of the CNN design choices performance on ImageNet-2012.
deepcover
DeepCover: Uncover Bugs in Deep Learning
Faster-High-Res-Neural-Inpainting
High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
FRRN
Full Resolution Residual Networks for Semantic Image Segmentation
GNNPapers
Must-read papers on graph neural networks (GNN)
Hard-Aware-Deeply-Cascaded-Embedding_release
Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"
HKU-COMP8053
Paper Presentation
learning-to-learn
Learning to Learn in TensorFlow
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)
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)
Neural-Decision-Forests
An implementation of the Deep Neural Decision Forests in PyTorch
NTIRE2017
Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
SRGAN-tensorflow
Tensorflow implementation of the SRGAN algorithm for single image super-resolution
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 If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year).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.
tensorlayer
TensorLayer: Deep Learning and Reinforcement Learning Library for Researcher and Engineer.
weifengge.github.io
Weifeng Ge - Homepage