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Name: Jason Lee
Type: User
Company: The University of Hong Kong
Bio: I am an assistant professor at CUHKSZ. My research is about 3D computer vision and AI guided interdisciplinary research.
Location: Hong Kong
Name: Jason Lee
Type: User
Company: The University of Hong Kong
Bio: I am an assistant professor at CUHKSZ. My research is about 3D computer vision and AI guided interdisciplinary research.
Location: Hong Kong
This repository is for the replication of our published paper "Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks" on IJCAI2016. Please consult and consider citing the following papers:
Lightweight library to build and train neural networks in Theano
Test LayerNorm for Lasagne
Low-rank convolutional neural networks
LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Models and examples built with TensorFlow
MXNet中文学习笔记
An interactive book on deep learning. Much easy, so MXNet. Wow.
Theano implementation of the Neural GPU
A recurrent neural network for generating little stories about images
Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)
Neural Turing Machines library in Theano with Lasagne
One-shot Learning with Memory-Augmented Neural Networks
P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure.
Synthesizing and manipulating 2048x1024 images with conditional GANs
PointSite: a point cloud segmentation tool for identification of protein ligand binding atoms
Predicting protein structure through sequence modeling
Pointer Networks
RaptorX-Property: a Standalone Package for Protein Structure Property Prediction
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
A list of papers on Generative Adversarial (Neural) Networks
Lasagne recipes: examples, IPython notebooks, ...
A Recurrent Neural Network for Object Segmentation
An implementation of the RL-NTM from http://arxiv.org/abs/1505.00521
An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
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.