a7032018 Goto Github PK

agentgpt

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

aialpha

Use unsupervised and supervised learning to predict stocks

arioc

Arioc: GPU-accelerated DNA short-read alignment

assemblyevaluator

A simple tool for evaluating a metagenomic assembly

astarix

AStarix: Fast and Optimal Sequence-to-Graph Aligner

awesome-microbes

List of computational resources for analyzing microbial sequencing data.

awesome-single-cell

List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.

bamcov

:boom: Quickly calculate and visualize sequence coverage in alignment files

castor_krfe

Features extraction method

cdhit

Automatically exported from code.google.com/p/cdhit

cellnet

CellNet: network biology applied to stem cell engineering

cellxgene

An interactive explorer for single-cell transcriptomics data

chisel

CHISEL -- Copy-number Haplotype Inference in Single-cell by Evolutionary Links

clairvoyante

Clairvoyante: a multi-task convolutional deep neural network for variant calling in Single Molecule Sequencing

claragenomicsanalysis

SDK for GPU accelerated genome assembly and analysis

codeformer

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

compute4covid

Getting started guide to using GPUs for nCoV2019 research

connet

CONNET: Accurate Genome Consensus in Assembling Nanopore Sequencing Data via Deep Learning

datasciencecoursera

datasharing

The Leek group guide to data sharing

deep-convolution-stock-technical-analysis

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-biology

A list of deep learning implementations in biology

deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

deepvirfinder

Identifying viruses from metagenomic data by deep learning

dnascan

DNAscan is a fast and efficient bioinformatics pipeline that allows for the analysis of DNA Next Generation sequencing data, requiring very little computational effort and memory usage.

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

flye

De novo assembler for single molecule sequencing reads using repeat graphs

gcdproject

gekko-strategies

Strategies to Gekko trading bot with backtests results and some useful tools.