XJay18's repositories

QuickDraw-pytorch

This is a demo for CNN models training on quickdraw dataset. Implemented with pytorch.

Language:PythonLicense:Apache-2.0Stargazers:12Issues:1Issues:1

Joy-plan

This is an android project to help with agenda scheduling.

Language:JavaLicense:Apache-2.0Stargazers:3Issues:0Issues:0

InfoSystem

Database Practical Training Assignment

Language:PythonLicense:MITStargazers:2Issues:1Issues:0

Examination

Notes for final examinations in SCUT.

License:Apache-2.0Stargazers:1Issues:1Issues:0

ImageClassificationKit

This repo provides a whole pipeline for image classification with Pytorch framework. It is also easy to add your own models and data sets for training and evaluating.

Language:PythonLicense:Apache-2.0Stargazers:1Issues:2Issues:0

VoD

Video on Demand Service based on MinIO and Vue.js

Language:SCSSLicense:MITStargazers:1Issues:0Issues:0

Algorithm_Interview_Notes-Chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

Language:PythonStargazers:0Issues:1Issues:0

Awesome-Face-Forgery-Generation-and-Detection

A curated list of articles and codes related to face forgery generation and detection.

Stargazers:0Issues:0Issues:0

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Stargazers:0Issues:0Issues:0

Bert-Chinese-Text-Classification-Pytorch

使用Bert,ERNIE,进行中文文本分类

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

CameraModel

This project uses OpenCV functions to conduct depth estimation and some other experiments.

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

ChineseTextClassification

This repo provides a complete pipeline for Chinese text classification, including raw data pre-processing, training, and visualization.

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

CHR

SIXray : A Large-scale Security Inspection X-ray Benchmark in CVPR 2019

Language:PythonStargazers:0Issues:1Issues:0

CV-classifiers

A summary of state-of-art convNet for classification. Code with paper.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Enigma-in-Android

Enigma Simulator for Android devices.

Language:JavaLicense:Apache-2.0Stargazers:0Issues:2Issues:0

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Language:PythonLicense:BSD-3-ClauseStargazers:0Issues:1Issues:0

face-api.js

JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

Language:TypeScriptLicense:MITStargazers:0Issues:0Issues:0

ICp-banking-microservices

ICp Banking Microservices with LinuxONE Community Cloud

Language:HTMLLicense:Apache-2.0Stargazers:0Issues:0Issues:0

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Language:PythonLicense:NOASSERTIONStargazers:0Issues:0Issues:0

ParallelApp_MPI

Assignment for Parallel Programming using C++ and MPI

Language:C++License:Apache-2.0Stargazers:0Issues:0Issues:0

ParallelApp_OMP

Assignment for Parallel Programming using C++ and OpenMP

Language:C++License:Apache-2.0Stargazers:0Issues:0Issues:0

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

License:Apache-2.0Stargazers:0Issues:0Issues:0

quickdraw-dataset

Documentation on how to access and use the Quick, Draw! Dataset.

License:NOASSERTIONStargazers:0Issues:0Issues:0

RandomForest

This repository contains codes of a self-implemented decision tree class and random forest class in python. Also, it provides a method for visualizing a single decision tree.

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0
Language:PythonLicense:MITStargazers:0Issues:0Issues:0

Single-Image-Super-Resolution

A collection of high-impact and state-of-the-art SR methods

Stargazers:0Issues:0Issues:0
Language:ShellStargazers:0Issues:0Issues:0

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

License:MITStargazers:0Issues:0Issues:0

XJay18

Config files for my GitHub profile.

Stargazers:0Issues:2Issues:0

XJay18.github.io

Personal Page

Language:HTMLLicense:Apache-2.0Stargazers:0Issues:1Issues:0