Pinned Repositories
awesome-deep-learning-papers
The most cited deep learning papers
awesome-image-classification
A curated list of deep learning image classification papers and codes
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
CnBlogPublishTool
博客园文章快捷发布工具
cuda_notes
It is a very brief but interesting story about cuda, you can learn more in "Intro to Parallel Programming"
Data-Structure
《数据结构》-严蔚敏.吴伟民-教材源码与习题解析
Deep-Clustering-Paper
Machine-Learning
I placed the notes on learning machine learning at the time, and there are related matlab code i had implemented.
sololearn-tutorial
Sololearn is a very interesting platform for learning programming, but currently only in English, so I did a little work to translate it into Chinese, hoping to help everyone.
ThinkPython2
《像计算机科学家一样思考python》(第2版) 中文版带习题答案
forrestsz's Repositories
forrestsz/ThinkPython2
《像计算机科学家一样思考python》(第2版) 中文版带习题答案
forrestsz/Deep-Clustering-Paper
forrestsz/sololearn-tutorial
Sololearn is a very interesting platform for learning programming, but currently only in English, so I did a little work to translate it into Chinese, hoping to help everyone.
forrestsz/Machine-Learning
I placed the notes on learning machine learning at the time, and there are related matlab code i had implemented.
forrestsz/awesome-deep-learning-papers
The most cited deep learning papers
forrestsz/awesome-image-classification
A curated list of deep learning image classification papers and codes
forrestsz/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
forrestsz/cuda_notes
It is a very brief but interesting story about cuda, you can learn more in "Intro to Parallel Programming"
forrestsz/Data-Structure
《数据结构》-严蔚敏.吴伟民-教材源码与习题解析
forrestsz/DEC-DA
Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).
forrestsz/decisiontree
This is my C++ implementation of the id3 decision tree, and I visualized the decision tree in python, mainly using what I learned in data structure.
forrestsz/deep_learning_object_detection
A paper list of object detection using deep learning.
forrestsz/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
forrestsz/frozen-in-time
Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval [ICCV'21]
forrestsz/linear-algebra
Not what I wrote, I think he wrote very well. So share it here. You can study with MIT's open class.(https://open.163.com/movie/2010/11/7/3/M6V0BQC4M_M6V29E773.html)
forrestsz/neural-networks-for-xor
XOR is an important problem in nn, this is a easy nn implemented by numpy for solving xor problem.
forrestsz/object-detection-notes
from RCNN to Mask RCNN, record my learning path in reading paper
forrestsz/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
forrestsz/pytorch-segmentation-toolbox
PyTorch Implementations for DeeplabV3 and PSPNet
forrestsz/pytorch-template
PyTorch deep learning projects made easy.
forrestsz/Region_Learner
The Pytorch implementation for "Video-Text Pre-training with Learned Regions"
forrestsz/resume
An elegant \LaTeX\ résumé template
forrestsz/SLIC_superpixels
SLIC Superpixels* implementation was my final computer vision project. Superpixels are instrumental in segmentation. This implementation is a proof of concept as taken from SLICsuperpixels paper mentioned in README.
forrestsz/SSDH_PyTorch
Source code for paper "Semantic Structure-based Unsupervised Deep Hashing" on IJCAI-2018
forrestsz/TBH
Auto-Encoding Twin-Bottleneck Hashing for CVPR2020
forrestsz/unsupervised-image-segmentation-by-WNet-with-NormalizedCut
A tensorflow implementation of WNet for unsupervised image segmentation on PASCAL VOC 2012 dataset
forrestsz/Unsupervised-Segmentation
A high performance impermentation of Unsupervised Image Segmentation by Backpropagation - Asako Kanezaki
forrestsz/W-Net
Implementation of W-Net: A Deep Model for Fully Unsupervised Image Segmentation with soft n-cut loss
forrestsz/work
forrestsz/ZFNet-PyTorch
ZFNet implementation in PyTorch