jiajunqiu Goto Github PK

behrt

Code for BEHRT: Transformer for Electronic Health Records

bilstm_attn

chronological-map-phenotypes

Machine-readable version of electronic health record phenotypes for Kuan V. and Denaxas S. et al.

compact-transformers

[Preprint] Escaping the Big Data Paradigm with Compact Transformers, 2021

crc_scrnaseq

dnabert

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

graph-convolutional-transformer

gwa_tutorial

A comprehensive tutorial about GWAS and PRS

linkpredictionjj

Implementation of different classes of link predictors and methods to assess and visualise their performance.

lncrna2goa

LNCRNA2GOA is a software written in R that predicts GO annotations for a given lncRNA

matplotlib

Matplotlib超详细的案例和说明

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

ncboost

Classifier of pathogenic non-coding variants in Mendelian diseases

ncvardb

Repo for the ncVAR database

necare

NEtwork-based CAncer gene RElationship prediciton

nfnets-pytorch

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

numpy-100

100 numpy exercises (with solutions)

probabilistic-deep-learning-with-tensorflow

Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real-world datasets.

pronahot

ProNAhot: Predicting protein-DNA, protein-RNA and protein-protein binding hot-spots from sequence

resnet

Clean, scalable and easy to use ResNet implementation in Pytorch

rnaediting_pipeline

scwat-st

Visium (10x Genomics) on human abdominal s.c white adipose tissue.

simplet5

simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

t5-learning-icse_2021

thefuck

Magnificent app which corrects your previous console command.

tools-to-design-or-visualize-architecture-of-neural-network

Tools to Design or Visualize Architecture of Neural Network

transvarsur

ukb_ehr_parser

vade

Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

vadesc

A probabilistic model to cluster survival data in a variational deep clustering setting