Pinned Repositories
Algorithms-Stanford.University
Algorithms - Learn To Think Like A Computer Scientist - Coursera
darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
EffectiveTensorflow
TensorFlow tutorials and best practices.
ExchangeSharp
ExchangeSharp is a powerful, fast and easy to use .NET/C# API for interfacing with many crypto currency exchanges. REST and web sockets are supported.
LeapUnrealModules
Leap Motion Unreal modules and example content.
mchat
Create chat program based on meteor
NBitcoin
Comprehensive Bitcoin library for the .NET framework.
NewProject
pumpkin-book
《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book
quiknode_explorer
Build a Blockchain Explorer with Quiknode.io | Ethereum dApp Tutorial
HyeongD's Repositories
HyeongD/HRNet-Semantic-Segmentation
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
HyeongD/CS131_release
Released assignments for the Stanford's CS131 course on Computer Vision.
HyeongD/loTeNet_pytorch
Official Pytorch implementation of model in "Tensor Networks for Medical Image Classification", Raghavendra Selvan & Erik Dam, MIDL 2020
HyeongD/SegmentationAPI
HyeongD/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
HyeongD/cs131_notes
Class notes for CS 131.
HyeongD/Google-bridge-data
USING CLOUD STORAGE SERVICES FOR DATA EXCHANGE BETWEEN TERMINALS Please refer to; https://www.mql5.com/en/articles/3331
HyeongD/windows-dev-box-setup-scripts
Scripts to simplify setting up a Windows developer box
HyeongD/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
HyeongD/RealTimeObjectDetection
HyeongD/SoftwareDesignPatterns
Software design Patterns
HyeongD/Simple-Chatv4
Simple-Chat v3 upgrade
HyeongD/Simple-Chatv3
Simple-chat v2 upgraded
HyeongD/Effective-Java-_Joshua_bloch_tutorials
Please look for "Effective Java" of the author Joshua Bloch, for more explanations of the codes above.
HyeongD/HRNet-Facial-Landmark-Detection
This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
HyeongD/tutorials
Just Announced - "Learn Spring Security OAuth":
HyeongD/Server-Clientv2
Server-Client version 2
HyeongD/installer
.NET SDK Installer
HyeongD/wpf
WPF is a .NET Core UI framework for building Windows desktop applications.
HyeongD/razor-compiler
This repo houses the Razor Compiler, which is part of the .NET SDK
HyeongD/ICMP-test-Java
ICMP(Internet Control Message Protocol) is a network layer protocol used by network devices to diagnose network communication issues. ICMP is mainly used to determine whether or not data is reaching its intended destination in a timely manner. Commonly, the ICMP protocol is used on network devices, such as routers. ICMP is crucial for error reporting and testing, but it can also be used in distributed denial of service.
HyeongD/Snmp-test-Java
This program shows how to ping an IP address or website using java
HyeongD/Server-Client-v1
Simple chat application server client v1 with test cases
HyeongD/Drowsiness-Alertness-Using-Machine-Learning-Technique
In India, many accidents occur every day due to breakdowns. As the population grows, so does the number of cars and accidents. Most accidents occur because people feel drowsy, speedy, drunk, or driving. Therefore, we will analyze the data of the past few years, investigate the main causes of accidents, and introduce an accident prevention system to
HyeongD/Power-Ping
This program performs Ping tests (ICMP protocol) on Hosts (servers, routers, switches, etc.).
HyeongD/Final-project-parts
digital payment API implementation
HyeongD/snmpman
Easy massive SNMP-agent simulation with the use of simple YAML files
HyeongD/GANBasics
HyeongD/EANet
[PR2022] The Code of “EANet: Iterative Edge Attention Network for Medical Image Segmentation”
HyeongD/Lite-HRNet
This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.