bioinformatica Goto Github PK

adapt-kcr

ant-admin

基于 antd 的后台管理平台, 在 react 中玩转 D3.js

antd-admin

An excellent front-end solution for enterprise applications built upon Ant Design and UmiJS

antdesigncascader

React + Ant Design 实现省市县三级联动选择框 直接用 Cascade selection box for selecting province / city / district.

autogluon

AutoGluon: AutoML for Image, Text, and Tabular Data

basset

Convolutional neural network analysis for predicting DNA sequence activity.

bert-chinese-text-classification-pytorch

使用Bert，ERNIE，进行中文文本分类

bert-dna

Incorporating Pre-training of Deep Bidirectional Transformers and Convolutional Neural Networks to Interpret DNA Sequences

bert-enhancer

A Transformer Architecture Based on BERT and 2D Convolutional Neural Network to Identify DNA Enhancers from Sequence Information

bert-promoter

bert4epi

BERT model for Enhancer-Promoter Classification

bert6ma

This package provides the CLI of BERT6mA. The BERT6mA predicts 6mA sites for 11 species.

best-readme-template

An awesome README template to jumpstart your projects!

bilstm-5mc

biopython

Official git repository for Biopython (originally converted from CVS)

build-web-application-with-golang

A golang ebook intro how to build a web with golang

chatgpt-web

Pure Javascript ChatGPT demo based on nginx with OpenAI API (gpt-3.5-turbo)

chinese-text-classification-pytorch

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

cougar-g

Frequence Chaos Game Representation of DNA with Deep Learning

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cpgenie

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

deep-learning-dna-sequences

Deep learning for identifying important motifs in DNA sequences. Exploration of the structure of the human genome by training neural network architectures (CNN, LSTM, Attention).

deepac4c

deepbind-with-pytorch

CNN architecture for predicting DNA binding sites for Transcription Factors

deepbio

deepcpg

Deep neural networks for predicting CpG methylation

deepgpgs

DeepGpgs: a novel deep learning framework for predicting arginine methylation sites combined with Gaussian prior and gated self-attention mechanism

deepips

Identification of phosphorylation sites using deep-learning method

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）