90 Open source projects that are alternatives of or similar to ALRA

Solve many kinds of least-squares and matrix-recovery problems

PyTorch Implementations of Dropout Variants

Examples using Clustergrammer2 to explore high-dimensional datasets.

Clustering scRNAseq by genotypes

R package – HLA Genotype Imputation with Attribute Bagging (development version only)

🔬 Nano size Theano LSTM module

Deep learning model for single-cell inference of multi-omic profiles from a single input modality.

Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, ST and CITE-seq).

Implementation of key concepts of neuralnetwork via numpy

cTPnet Package

SHARP: Single-cell RNA-seq Hyper-fast and Accurate processing via ensemble Random Projection

missCompare R package - intuitive missing data imputation framework

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

Spatial Transcriptomics Dashboard

DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020

Papers with code for single cell related papers

Artificial Intelligence Learning Notes.

Harmony framework for connecting scRNA-seq data from discrete time points

Selective Classification For Deep Neural Networks.

BEER: Batch EffEct Remover for single-cell data

Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.

Michigan Imputation Server: A new web-based service for imputation that facilitates access to new reference panels and greatly improves user experience and productivity

Demultiplexing pooled scRNA-seq data with or without genotype reference

Single cell type annotation guided by cell atlases, with freedom to be queer

scGEAToolbox: Matlab toolbox for single-cell gene expression analyses

Satania IS the BEST waifu, no really, she is, if you don't believe me, this website will convince you

Beta Machine Learning Toolkit

datagrand 2019 information extraction competition rank9

sciblox - Easier Data Science and Machine Learning

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

An unofficial demultiplexing strategy for SPLiT-seq RNA-Seq data

Complementary code for the Targeted Dropout paper

Pipeline for initial analysis of droplet-based single-cell RNA-seq data

Implementation of CNNs, RNNs, and many deep learning techniques in plain Numpy.

Validation and manipulation of FASTQ files, scRNA-seq barcode pre-processing and UMI quantification.

Stochastic Delta Rule implemented in Pytorch on DenseNet

Reference mapping for single-cell genomics

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Reconstruction of complex single-cell trajectories using CellRouter

Clone identification from single-cell data

Conversion between scRNA-seq objects

My workshop on machine learning using python language to implement different algorithms

Single-cell Hierarchical Poisson Factorization

The tools and syntax you need to code neural networks from day one.

A tool for semi-automatic cell type annotation

Win probability predictions for League of Legends matches using neural networks

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

Efficient and precise single-cell reference atlas mapping with Symphony

This is the code behind the www.impute.me site. It contains algorithms for personal genome analysis, including imputation and polygenic risk score calculation

Spatial alignment of single cell transcriptomic data.

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Making imputation easy

Discover differential transcript usage from polyA-captured single cell RNA-seq data

Lightweight Python library for in-memory matrix completion.

repo that holds code for improving on dropout using Stochastic Delta Rule

Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019

R package "missRanger" for fast imputation of missing values by random forests.