sheryl-ai Goto Github PK

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

bdc4cm

2017 Big Data Coursework for Computational Medicine (BDC4CM) at Weill Cornell Medical School

coit

cs229t

Statistical Learning Theory (CS229T) Lecture Notes

deeplearning-biology

A list of deep learning implementations in biology

deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

demo

For my practice

diffusion

Denoising Diffusion Probabilistic Models

football-paris

The exact codes used by the team "liveinparis" at the kaggle football competition ranked 6th/1141

ggnn

Gated Graph Sequence Neural Networks

howtotrainyourmamlpytorch

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.

learning-to-vr.github.io

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

mdan

Demo code for the MDAN paper.

memgcn

Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network (ICDM 2018 full paper)

metapred

MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records (KDD 2019)

metric-learn

Metric learning algorithms in Python

ml_wcm

A self-study group in WCM

mnist_challenge

A challenge to explore adversarial robustness of neural networks on MNIST.

mvgcn

Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)

nature-scientific-reports

Raw data processing and Parkinson's subtyping model

neurips17

NeurIPS 2017 Competition Classifying Genetic Mutations by Text (Top-1 Solution)

nsfc-latex

octocat.github.io

ppmi-preprocess

ppmi-subtype-analysis

Subtype analysis with disease progression for Parkinson's Disease (Nature Scientific Reports)

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

python

All Algorithms implemented in Python

pytorch-maml

PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400