Name: Jakuid
Type: User
Company: Sun Yat-sen University
Location: School of data and computer science of Sun Yat-sen University, No. 132 Waihuan East Rd., Guangzhou University City, Panyu District, Guangzhou, Guangdong, P.R.China.
Jakuid's Projects
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
关于算法的一些东西
Bug-tracking for Jeff's algorithms book, notes, etc.
Bilinear LSTM and GRU RNN's (with matrix inputs and states)
This is code of book "Learn Deep Learning with PyTorch"
this is a program of compilerprinciple
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
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15个章节,近20万字。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[email protected] 版权所有,违权必究 Tan 2018.06
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Deep learning algorithms source code for beginners
c++ LRUcache
Paper list and source code for multi-object-tracking
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
RNN based Time-series Anomaly detector model implemented in Pytorch.
This is a re-implementation of Siamese-RPN with pytorch, which is CVPR2018 spotlight.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
this is a simple System of Vehicle Renting writing by JAVA
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"