daidengxin Goto Github PK
Name: Dengxin Dai
Type: User
Company: ETH Zurich
Name: Dengxin Dai
Type: User
Company: ETH Zurich
Code and hyperparameters for the paper "Generative Adversarial Networks"
A curated list of deep learning resources for computer vision
An awesome list of high-quality open datasets in public domains (on-going).
Recurrent Neural Network - A curated list of resources dedicated to RNN
Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds
Petuum's Bosen project
Caffe
Supervised Semantics-preserving Deep Hashing (TPAMI17)
Caffe with heatmap regression & spatial fusion layers. Useful for any CNN image position regression task.
Creation of LMDB for training a multi-label loss in Caffe
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
Speech Recognition with the Caffe deep learning framework
Provides ROS integration for Cartographer.
CCNN: Framework for optimizing CNNs with linear constraints.
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
README and scripts for the Cityscapes Dataset
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Computational Network Toolkit (CNTK)
MS COCO Annotation UIs
Stanford CoreNLP: A Java suite of core NLP tools.
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
DeconvNet : Learning Deconvolution Network for Semantic Segmentation
Main repository for Deep Metric Learning via Lifted Structured Feature Embedding
The SDK for Jetpac's iOS Deep Belief image recognition framework
Summaries and notes on Deep Learning research papers
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Torch implementation of DeepMask and SharpMask
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.