Pinned Repositories
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
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)
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)
ppmi-preprocess
PPMI-Subtype-Analysis
Subtype analysis with disease progression for Parkinson's Disease (Nature Scientific Reports)
sheryl-ai's Repositories
sheryl-ai/MVGCN
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)
sheryl-ai/MetaPred
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records (KDD 2019)
sheryl-ai/MemGCN
Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network (ICDM 2018 full paper)
sheryl-ai/Nature-Scientific-Reports
Raw data processing and Parkinson's subtyping model
sheryl-ai/NeurIPS17
NeurIPS 2017 Competition Classifying Genetic Mutations by Text (Top-1 Solution)
sheryl-ai/PPMI-Subtype-Analysis
Subtype analysis with disease progression for Parkinson's Disease (Nature Scientific Reports)
sheryl-ai/ppmi-preprocess
sheryl-ai/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
sheryl-ai/BDC4CM
2017 Big Data Coursework for Computational Medicine (BDC4CM) at Weill Cornell Medical School
sheryl-ai/CoIT
sheryl-ai/cs229t
Statistical Learning Theory (CS229T) Lecture Notes
sheryl-ai/deeplearning-biology
A list of deep learning implementations in biology
sheryl-ai/deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
sheryl-ai/diffusion
Denoising Diffusion Probabilistic Models
sheryl-ai/football-paris
The exact codes used by the team "liveinparis" at the kaggle football competition ranked 6th/1141
sheryl-ai/ggnn
Gated Graph Sequence Neural Networks
sheryl-ai/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.
sheryl-ai/learning-to-vr.github.io
sheryl-ai/MAML-Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
sheryl-ai/maml_rl
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
sheryl-ai/MDAN
Demo code for the MDAN paper.
sheryl-ai/metric-learn
Metric learning algorithms in Python
sheryl-ai/ML_WCM
A self-study group in WCM
sheryl-ai/mnist_challenge
A challenge to explore adversarial robustness of neural networks on MNIST.
sheryl-ai/NSFC-LaTex
sheryl-ai/pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
sheryl-ai/Python
All Algorithms implemented in Python
sheryl-ai/pytorch-maml
PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
sheryl-ai/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
sheryl-ai/universal