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Mycroft Core, the Mycroft Artificial Intelligence platform.
Code for the paper "A comprehensive examination of Nanopore native RNA sequencing for characterization of complex transcriptomes"
Code samples for my book "Neural Networks and Deep Learning"
List of papers about Proteins Design using Deep Learning
Pipeline for annotating genomes using long read transcriptomics data with stringtie and other tools
Pipeline for differential gene expression (DGE) and differential transcript usage (DTU) analysis using long reads
adapter trimmer for Oxford Nanopore reads
Code for the ProteinMPNN paper
https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
PyTorch Tutorial for Deep Learning Researchers
Simple PyTorch Tutorials Zero to ALL!
RNAseq analysis notes from Ming Tang
Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.
Pipelines for single-cell RNA-Seq analysis
Code to reproduce analyses from the sleuth paper
This is the development home of the workflow management system Snakemake. For general information, see
A deep learning-based tool to identify splice variants
SpliceFinder applies convolutional neural network to classify sequences to donor, acceptor or non-splice-site. With a sliding window, it can predict the exact positions of every splice site on long genomic sequences with less false positives and high recall.
A latent text-to-image diffusion model
A way to use FeatureCounts output for DEXSeq
Code for Tensorflow Machine Learning Cookbook
A platform for building proxies to bypass network restrictions.
A simple but complete full-attention transformer with a set of promising experimental features from various papers
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.