Pinned Repositories
aiLearnNotes
aspell-python
Python wrapper for aspell (C extension and python version)
awesome-deep-learning-papers
The most cited deep learning papers
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
Cancer-Cell-Tracking
This project focuses on tracking cancer cell based on Fuhua et al. [1], which used watershed algorithm to segment cells and built a feature vector for cell tracking including the information of position, shape, spatial distribution and texture.
Captcha_ADDA
An example of implementing adversarial discriminative domain adaptation on captcha dataset by using keras
cloud-examples
Collection of examples to get started with the Sagemath Cloud
Latex-Template
Latex Template for The BE Project Report
TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
Tensorflow_Embedding_and_Weight_Visualization
Helper functions for visualizing the embedding and weights as images.
ghs2015's Repositories
ghs2015/Tensorflow_Embedding_and_Weight_Visualization
Helper functions for visualizing the embedding and weights as images.
ghs2015/TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
ghs2015/aiLearnNotes
ghs2015/awesome-deep-learning-papers
The most cited deep learning papers
ghs2015/Cancer-Cell-Tracking
This project focuses on tracking cancer cell based on Fuhua et al. [1], which used watershed algorithm to segment cells and built a feature vector for cell tracking including the information of position, shape, spatial distribution and texture.
ghs2015/Captcha_ADDA
An example of implementing adversarial discriminative domain adaptation on captcha dataset by using keras
ghs2015/CNNDesignPatterns
Caffe code and prototxt files for the CNN Design Patterns paper
ghs2015/darknet
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores is used)
ghs2015/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
ghs2015/DeepLearningBook
MIT Deep Learning Book in PDF format
ghs2015/deeplearningbook-chinese
Deep Learning Book Chinese Translation
ghs2015/doc_sideslip
ghs2015/examples
Examples and case-study that use OSATE
ghs2015/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
ghs2015/hexo
A fast, simple & powerful blog framework, powered by Node.js.
ghs2015/LSTM-UNet
ghs2015/models
Models built with TensorFlow
ghs2015/mot-papers
A collection of Multiple Object Tracking (MOT) papers in recent years, with notes.
ghs2015/multi-object-tracking-paper-list
Paper list and source code for multi-object-tracking
ghs2015/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
ghs2015/my-git
Individual collecting material of learning git（有关 git 的学习资料）
ghs2015/p2cpp
version1
ghs2015/selfspy
Log everything you do on the computer, for statistics, future reference and all-around fun!
ghs2015/space_shooter_package
ghs2015/tensorflow
Computation using data flow graphs for scalable machine learning
ghs2015/tensorflow-distributed-scripts
Scripts for running tensorflow in distributed mode on Palmetto
ghs2015/unite.vim
:dragon: Unite and create user interfaces
ghs2015/Unity_Roll_a_Ball
ghs2015/useful-php-scripts
several different,useful php scripts and functions
ghs2015/vaderSentiment
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.