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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

algorithm_learning

关于算法的一些东西

algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

awesomesoftware

bilinear_rnn

Bilinear LSTM and GRU RNN's (with matrix inputs and states)

caffe-rfcn

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

compilerprinciple

this is a program of compilerprinciple

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

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

examples

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

learn_dl

Deep learning algorithms source code for beginners

lrucache

c++ LRUcache

multi-object-tracking-paper-list

Paper list and source code for multi-object-tracking

pytorch-playground

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

rnn-time-series-anomaly-detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

siamese-rpn-pytorch

This is a re-implementation of Siamese-RPN with pytorch, which is CVPR2018 spotlight.

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

vehicle-rent-system

this is a simple System of Vehicle Renting writing by JAVA

yolo_v3_tutorial_from_scratch

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"