Wenyue Jin's repositories
Scenes-Understanding
Supporting files for coupling non-monotonic reasoning with statistical lerning, and explanations
c9-python-getting-started
Sample code for Channel 9 Python for Beginners course
CASENet
A Pytorch implementation of CASENet for the Cityscapes Dataset
Cpp-Primer
C++ Primer 5 answers
DexiNed
DexiNed: Dense EXtreme Inception Network for Edge Detection
flownet2-pytorch
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
HaustralFold_Edge_Detector
Temporally consistent edge detector of haustral folds for colonoscopy video
JFoenix
JavaFX Material Design Library
jwyhhh123.github.io
personal website
keysniffer
:mag: Linux kernel mode debugfs keylogger
modern-cpp-tutorial
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
Multi-task-deep-network
Usage of Multi-task deep learning network for semantic segmentation in medical images
multi-task-learning-example
A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
prince-computer-vision
work-through of Computer Vision: Models, Learning, and Inference by Simon J.D. Prince
pytorch-segnet
SegNet implementation in Pytorch framework
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
q-learning-java
Reinforcement learning - Q learning in Java
seal
Code for Simultaneous Edge Alignment and Learning (SEAL)
semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Sequential-Minimal-Optimization-for-SVM
The main purpose of the project is to analyze the optimization methods currently employed to perform the training of the support vector machines (SVM).
trashnet
Dataset of images of trash; Torch-based CNN for garbage image classification
ucl-csml-cheatsheets
Cheat sheets for UCL's 2018/19 machine learning modules
WebOutlook
🍅冲出你的窗口，free ss/ssr/vmess分享、IPFS、暗网及蹭网教程、Git镜像等其他资源存储库