A Python adaption of Augur to prioritize cell types in perturbation analysis.

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Data Analysisaugurpy
Overview
Owner
Theis Lab
Institute of Computational Biology
Theis Lab
pandas: powerful Python data analysis toolkit

pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive.

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First steps with Python in Life Sciences

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Hidden Markov Models in Python, with scikit-learn like API

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PLStream: A Framework for Fast Polarity Labelling of Massive Data Streams

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Evaluation of a Monocular Eye Tracking Set-Up

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Handle, manipulate, and convert data with units in Python

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This tool parses log data and allows to define analysis pipelines for anomaly detection.

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Hangar is version control for tensor data. Commit, branch, merge, revert, and collaborate in the data-defined software era.

Overview docs tests package Hangar is version control for tensor data. Commit, branch, merge, revert, and collaborate in the data-defined software era

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Cleaning and analysing aggregated UK political polling data.

Analysing aggregated UK polling data The tweet collection & storage pipeline used in email-service is used to also collect tweets from @britainelects.

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Random dataframe and database table generator

Random database/dataframe generator Authored and maintained by Dr. Tirthajyoti Sarkar, Fremont, USA Introduction Often, beginners in SQL or data scien

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Single machine, multiple cards training; mix-precision training; DALI data loader.

Template Script Category Description Category script comparison script train.py, loader.py for single-machine-multiple-cards training train_DP.py, tra

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Python package for analyzing behavioral data for Brain Observatory: Visual Behavior

Allen Institute Visual Behavior Analysis package This repository contains code for analyzing behavioral data from the Allen Brain Observatory: Visual

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Generate lookml for views from dbt models

dbt2looker Use dbt2looker to generate Looker view files automatically from dbt models. Features Column descriptions synced to looker Dimension for eac

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Efficient matrix representations for working with tabular data

Efficient matrix representations for working with tabular data

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Manage large and heterogeneous data spaces on the file system.

signac - simple data management The signac framework helps users manage and scale file-based workflows, facilitating data reuse, sharing, and reproduc

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Improving your data science workflows with

Make Better Defaults Author: Kjell Wooding [email protected] This is the git re

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t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology.

tree-SNE t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology. Building on recent advances in s

Isaac Robinson 61 Nov 21, 2022
Spectacular AI SDK fuses data from cameras and IMU sensors and outputs an accurate 6-degree-of-freedom pose of a device.

Spectacular AI SDK examples Spectacular AI SDK fuses data from cameras and IMU sensors (accelerometer and gyroscope) and outputs an accurate 6-degree-

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Data Intelligence Applications - Online Product Advertising and Pricing with Context Generation

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An experimental project I'm undertaking for the sole purpose of increasing my Python knowledge

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