Cade1248's Stars
youngyangyang04/leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
huihut/interview
📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
bradtraversy/vanillawebprojects
Mini projects built with HTML5, CSS & JavaScript. No frameworks or libraries
charlesq34/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
yanx27/Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
facebookresearch/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
HobbitLong/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
zhoushengisnoob/DeepClustering
Methods and Implements of Deep Clustering
fxia22/pointnet.pytorch
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
zslomo/2019-Autumn-recruitment-experience
2019届秋招面经集合
facebookresearch/deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
taoxugit/AttnGAN
wavefrontshaping/complexPyTorch
A high-level toolbox for using complex valued neural networks in PyTorch
jbhuang0604/SelfExSR
Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)
dev-sungman/Awesome-Self-Supervised-Papers
Paper bank for Self-Supervised Learning
salesforce/PCL
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
yjn870/SRCNN-pytorch
PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)
note286/xdupgthesis
[停止维护 请使用note286/xduts]西安电子科技大学研究生学位论文XeLaTeX模板
SorourMo/38-Cloud-A-Cloud-Segmentation-Dataset
This data set includes Landsat 8 images and their manually extracted pixel-level ground truths for cloud detection.
dilligencer-zrj/code_zoo
fuyongXu/SRCNN_Pytorch_1.0
The implemention of SRCNN by pytorch1.0
kawaiibilli/pytorch_srcnn
pytorch implementation of Super Resolution CNN as discussed in http://personal.ie.cuhk.edu.hk/~ccloy/files/eccv_2014_deepresolution.pdf
ZhiyuanDang/NNM
The PyTorch official implementation of the CVPR2021 Poster Paper NNM: Nearest Neighbor Matching for Deep Clustering.
philkr/voc-classification
Train and evaluate VOC 2007 / 2012 image classification models. We used this code to evaluate several feature learning algorithms.
Mirwaisse/SRCNN
Implementation of SRCNN in PyTorch
YeongHyeon/Super-Resolution_CNN
Implementation of "Image Super-Resolution using Deep Convolutional Network"
SovGVD/esp32-small-robot-dog-hardware
Small robot dog inspired by Petoi Bittle. 3DOF legs.
YeongHyeon/Super-Resolution_CNN-PyTorch
Implementation of 'Image Super-Resolution using Deep Convolutional Network'
Cade1248/studies
自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/Python/Pytorch