zhengzhenxian Goto Github PK
Name: zhenxian
Type: User
Company: The University of Hong Kong
Bio: bioinformatics and deep learning
Twitter: SineZheng
Location: Hong Kong
Name: zhenxian
Type: User
Company: The University of Hong Kong
Bio: bioinformatics and deep learning
Twitter: SineZheng
Location: Hong Kong
visual tracker benchmark results
Conda recipes for the bioconda channel.
A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)
CFRBM is a implementation of the RBM model to the collaborative filtering task
ClairS - a deep-learning method for long-read somatic small variant calling
Collaborative Denoising Auto-Encoder for Top-N Recommender Systems (CDAE)
DanceNet -ππDance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)
Distractor-aware Siamese Networks for Visual Object Tracking (ECCV2018)
Deep count autoencoder for denoising scRNA-seq data
DCFNet: Discriminant Correlation Filters Network for Visual Tracking
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
A target captured medical exome ONT sequencing with amplicon variant calling workflow
A matlab re-implementation of GOTURN
Sequence correction provided by ONT Research
Neural Collaborative Filtering
MDNet python implementation
PySpark-Tutorial provides basic algorithms using PySpark
This repository includes some papers that I have read or which I think may be very interesting.
State-of-the-art object tracking at high framerates, in TensorFlow.
An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
A Python scikit for building and analyzing recommender systems
Tracking Benchmark for Correlation Filters
VITAL: VIsual Tracking via Adversarial Learning
Visual Object Tracking (VOT) challenge evaluation toolkit
Read-based phasing of genomic variants, also called haplotype assembly
code of paper `Deep Neural Networks for Youtube Recommendation`
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.