Pinned Repositories
ActivityFragmentMVP
This is an example of interactions between Activity and it's Fragments using Android Model View Presenter
allstate
Kaggle's Allstate Purchase Prediction Challenge
AllStateKaggle
Entries for Kaggle All State
amazeui
Amaze UI, a mobile-first and modular front-end framework.
amazon-dsstne
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
android
Common Utils library is developed to reduce efforts to achieve common features of the android apps. While developing the apps, we realized that we’re coding for many common features in all the apps. For e.g. check the network’s availability, using shared preferences, parsing, etc. And like us, many other android developers might be doing the same. So it needs to be reduced for all to save the development time with ease. This is how an idea popped in our mind, and we decided to develop an SDK which can reduce developers’ time and efforts.
Android-AlertView
仿iOS的AlertViewController
Android-CleanArchitecture
This is a sample app that is part of a series of blog posts I have written about how to architect an android application using Uncle Bob's clean architecture approach.
DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
PRML
Pattern recognition and machine learning toolbox
hestendelin's Repositories
hestendelin/amazon-dsstne
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
hestendelin/Android-AlertView
仿iOS的AlertViewController
hestendelin/Android-CleanArchitecture
This is a sample app that is part of a series of blog posts I have written about how to architect an android application using Uncle Bob's clean architecture approach.
hestendelin/android-open-project
Collect and classify android open source projects 微信公众号：codekk
hestendelin/AndRouter
A android router framework used to map url to activities or actions.
hestendelin/awesome-deep-learning-papers
hestendelin/awesome-flask
A curated list of awesome Flask resources and plugins
hestendelin/CanRefresh
可适配所有视图的下拉刷新上拉加载，并支持各种风格。
hestendelin/chasing-cats
Scripts and utlities that go with a deployment of Caffe as a cat detector
hestendelin/colorization
Demo code for Colorful Image Colorization.
hestendelin/DeepLearningBook
MIT Deep Learning Book in PDF format
hestendelin/DKRL
Representation Learning of Knowledge Graphs with Entity Descriptions
hestendelin/DL4NLP
Deep Learning for NLP resources
hestendelin/EventBus
Android optimized event bus that simplifies communication between Activities, Fragments, Threads, Services, etc. Less code, better quality.
hestendelin/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015.
hestendelin/fuqiangchen
fuqiang chen's tech blog
hestendelin/GraphJet
GraphJet is a real-time graph processing library.
hestendelin/hotel-review-analysis
Sentiment analysis and aspect classification for hotel reviews using machine learning models with MonkeyLearn.
hestendelin/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
hestendelin/NSC
Neural Sentiment Classification
hestendelin/pika
Pika is a nosql compatible with redis protocol, it is developed by Qihoo's DBA and infrastructure team
hestendelin/react-native
A framework for building native apps with React.
hestendelin/rtb-papers
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
hestendelin/shadowsocks-android
A Shadowsocks client for Android
hestendelin/spark
Mirror of Apache Spark
hestendelin/sweet-alert-dialog
SweetAlert for Android, a beautiful and clever alert dialog
hestendelin/tensorflow
Computation using data flow graphs for scalable machine learning
hestendelin/Theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
hestendelin/TKRL
Code of IJCAI-16: Representation Learning of Knowledge Graphs with Hierarchical Types
hestendelin/torus
Torus Distributed Storage