cells2numbers's Stars
azuwis/zigbee2mqtt-networkmap
Home Assistant Custom Card to show Zigbee2mqtt network map
crisap94/MHZ19
MH-Z19 CO2 sensor library for ESP8266 or Arduino
Geocene/trainset
A lightweight web application for brushing labels onto time series data; useful for building training sets.
shoaibahmed/TSViz-Core
Code for the paper: "TSViz: Demystification of Deep Learning Models for Time-Series Analysis"
oliverguhr/transformer-time-series-prediction
proof of concept for a transformer-based time series prediction model
soedinglab/MMseqs2
MMseqs2: ultra fast and sensitive search and clustering suite
kubeflow/manifests
A repository for Kustomize manifests
Mykrobe-tools/mykrobe
Antibiotic resistance prediction in minutes
shervinea/mit-15-003-data-science-tools
Study guides for MIT's 15.003 Data Science Tools
binjr/binjr
A Time Series Data Browser
kubeflow/pipelines
Machine Learning Pipelines for Kubeflow
adw96/biost509
Class materials for BIOST 509
chemprop/chemprop
Message Passing Neural Networks for Molecule Property Prediction
rstudio/RStartHere
A guide to some of the most useful R Packages that we know about
cells2numbers/unet4neutrophils
cells2numbers/migrationminer
MigrationmineR is a R package to analyse and profile in vitro cell tracking and migration data. It is belongs to the cytominer-verse used for morphological profiling and allows to create temporal or dynamic profiles.
VolkerH/unet-nuclei
Segmentation of fluorescently labelled nuclei using a pre-trained Unet
GoogleCloudPlatform/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
tidyverse/multidplyr
A dplyr backend that partitions a data frame over multiple processes
cytodata/cytodata-2018
CytoData 2018 website
broadinstitute/keras-rcnn
Keras package for region-based convolutional neural networks (RCNNs)
apache/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
tarleb/shell-talk
Presentations from the commandline
broadinstitute/skopy