duolinwang's repositories

MusiteDeep

MusiteDeep provides a deep-learning method for general and kinase-specific phosphorylation site prediction. It is implemented by deep learning library Keras and Theano backend (the Keras2.0 and Tensorflow backend implementation were also provided under folder MusiteDeep_Keras2.0). At present, MusiteDeep only provides prediction of human phosphorylation sites; however, it also provides customized model training that enables users to train other PTM prediction models by using their own training data sets based on either CPU or GPU.

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CapsNet_PTM

CapsNet for Protein Post-translational Modification site prediction.

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MusiteDeep_web

This repository contains the stand-alone tool for MusiteDeep server

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S-PLM

S-PLM: Structure-aware Protein Language Model via Contrastive Learning between Sequence and Structure

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DM3Loc

A novel Deep-learning Framework with Multi-head Self-attention for Multi-label mRNA Subcellular Localization Prediction and Analyses

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BFDCA

BFDCA: A Comprehensive Tool of Using Bayes Factor for Differential Co-Expression Analysis

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ACM-BCB-2019-Tutorial

Slides, code, and examples for the Low-dimensional Representation of Biological Sequence Data tutorial at the ACM-BCB 2019 conference

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August-2019-consensus-accuracy-update

A short analysis of Oxford Nanopore consensus accuracy for bacterial genome assemblies

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Basecalling-comparison

A comparison of different Oxford Nanopore basecallers

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Chiron

A basecaller for Oxford Nanopore Technologies' sequencers

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CNNPeaks

A ChIP-Seq peak calling algorithm using convolution neural network

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dragonfly

An open source python library for scalable Bayesian optimisation.

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evolocity

Evolutionary velocity with protein language models

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fairseq-1

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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google-research

Google Research

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Keras-GAN-1

Keras implementations of Generative Adversarial Networks.

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keras-transformer

Keras library for building (Universal) Transformers, facilitating BERT and GPT models

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keras-transformer-1

Transformer implemented in Keras

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memory_profiler

Monitor Memory usage of Python code

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ngl

WebGL protein viewer

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ProtTrans

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

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seq2seq-1

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

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taiyaki

Training models for basecalling Oxford Nanopore reads

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vicreg

VICReg official code base

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