carebon Goto Github PK

a-deep-learning-model-for-predicting-next-generation-sequencing-depth-from-dna-sequence

A Deep Learning Model for Predicting Next-Generation Sequencing Depth from DNA Sequence

algorithm

This program is the source code in our paper, KMVO Algorithm to Construct DNA Storage Codes

bdrl

The source code of the paper "BDRL: Combining Bert and Deep Reinforcement Learning to learn the Combinatorial Optimization Algorithms over Graphs"

best-websites-a-programmer-should-visit

:link: Some useful websites for programmers.

biochem-err-dna

chamaeleo

BGI DNA Storage Kit

clash-for-linux

Linux 端使用 Clash 作为代理工具

clustered-nanopore-reads-dataset

A dataset of real DNA traces for benchmarking trace reconstruction algorithms

cnn-graph-classification

A convolutional neural network for graph classification in PyTorch

decagon

Graph convolutional neural network for multirelational link prediction

deepconsensus

DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS) data.

demo

for first

dna-fountain

DNA-Fountain

dna-hyb-deep-learning

Code accompanying the "Efficient approximation of DNA hybridisation using deep learning" paper

dna-nn

Model and predict short DNA sequence features with neural networks

dna-storage

dna_data_storage

This repo includes our work on transforming Text data to DNA nucleotide data.

dna_rs_coding

Error correction scheme for storing information on DNA using Reed Solomon codes

dnasimulator

DNA Simulator for Technion

doris

Code associated with DORIS: Dynamic DNA-based information storage. https://doi.org/10.1101/836429

erasure-coding-durability

Python code to calculate the durability of data stored with erasure coding, such as Reed-Solomon.

gatgnn

Pytorch Repository for our work: Graph convolutional neural networks with global attention for improved materials property prediction

gcn_metric_learning

Metric Learning with Graph Convolutional Neural Networks

gcn_tutorial

A tutorial on Graph Convolutional Neural Networks

gnn_protein-x2-complexes

Graph Neural Network (Convolution , Node Attention , Node+Edge Attention) to assess quality of protein-protein complexes.

gnnome-assembly

Learning to untangle genome assembly with graph neural networks.

graph-convnet-tsp

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

graph-neural-networks-in-life-sciences

graph_convolutional_nn_molecule_maker

A Graph Neural Network (Geometric machine learning) for molecular generation

hedges

HEDGES Error Correcting Code for DNA