Mengxianke

Mengxianke

Geek Repo

0

followers

0

following

Github PK Tool:Github PK Tool

Mengxianke's starred repositories

Extreme-Computing

coursework for Extreme Computing

Language:PythonStargazers:1Issues:0Issues:0

AdvancedDatabases

The solution to Advanced Databases assignments.

Language:JavaStargazers:1Issues:0Issues:0

RLPractical

Algorithm implements for lecture Reinforcement Learning in University of Edinburgh.

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:19Issues:0Issues:0

groupImg

A script in python to organize your images by similarity.

Language:PythonLicense:MITStargazers:220Issues:0Issues:0

cmu15-445

:floppy_disk: CMU 15-445/645: Intro to Database Systems (Fall 2017). A course on the design and implementation of database management systems.

Language:C++Stargazers:160Issues:0Issues:0
Language:C++Stargazers:4Issues:0Issues:0

Pytorch-Stochastic-Depth-Resnet

Pytorch Implementation of Deep Networks with Stochastic Depth

Language:PythonStargazers:59Issues:0Issues:0

FreezeOut

Accelerate Neural Net Training by Progressively Freezing Layers

Language:PythonStargazers:208Issues:0Issues:0

ResNeXt.pytorch

Reproduces ResNet-V3 with pytorch

Language:PythonLicense:MITStargazers:502Issues:0Issues:0

Traffic-Signs-CNN-Classifier

This project is to recognize the traffic signs in the wild (real-world) which is one of the main tasks for any self-driving car project. It is a computer vision classification problem that I’ve tackled by building a CNN model trained from scratch to do the job.

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

Traffic-Sign-CNN

Deep learning network for traffic sign image classification

Language:Jupyter NotebookStargazers:14Issues:0Issues:0

car-traffic-sign-classification

Built and trained a deep neural network to classify traffic signs using Tensorflow

Language:HTMLLicense:MITStargazers:37Issues:0Issues:0

CarND-Traffic-Sign-Classifier-P2

Traffic Sign Classification using Convolutional Neural Networks

Language:PythonStargazers:23Issues:0Issues:0

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

Language:PythonStargazers:3919Issues:0Issues:0

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

Language:PythonLicense:MITStargazers:2544Issues:0Issues:0

libalpr

Automatic license plate recognition in PyTorch

Language:PythonLicense:NOASSERTIONStargazers:13Issues:0Issues:0

License-Plate-Detector

基于Yolov5车牌检测,更快更准.

Language:PythonStargazers:1154Issues:0Issues:0

cats-and-dogs-classification

The Oxford-IIIT-Pet dataset - Image classification using CNN

Language:PythonLicense:MITStargazers:24Issues:0Issues:0

License-Plate-Detect-Recognition-via-Deep-Neural-Networks-accuracy-up-to-99.9

works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate

Language:C++Stargazers:1376Issues:0Issues:0