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Name: Xi (Sheryl) Zhang
Type: User
Company: Cornell University
Bio: Machine Learning, Deep Learning
Blog: xi-zhang.net
Name: Xi (Sheryl) Zhang
Type: User
Company: Cornell University
Bio: Machine Learning, Deep Learning
Blog: xi-zhang.net
A curated list of awesome self-supervised methods
2017 Big Data Coursework for Computational Medicine (BDC4CM) at Weill Cornell Medical School
Statistical Learning Theory (CS229T) Lecture Notes
A list of deep learning implementations in biology
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
For my practice
Denoising Diffusion Probabilistic Models
The exact codes used by the team "liveinparis" at the kaggle football competition ranked 6th/1141
Gated Graph Sequence Neural Networks
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Demo code for the MDAN paper.
Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network (ICDM 2018 full paper)
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records (KDD 2019)
Metric learning algorithms in Python
A self-study group in WCM
A challenge to explore adversarial robustness of neural networks on MNIST.
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)
Raw data processing and Parkinson's subtyping model
NeurIPS 2017 Competition Classifying Genetic Mutations by Text (Top-1 Solution)
Subtype analysis with disease progression for Parkinson's Disease (Nature Scientific Reports)
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
All Algorithms implemented in Python
PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
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.