preethampaul

tqdm

:zap: A Fast, Extensible Progress Bar for Python and CLI

gsutil

A command line tool for interacting with cloud storage services.

remove-bg

A Python API wrapper for removing background using remove.bg's API

python-ternary

:small_red_triangle: Ternary plotting library for python with matplotlib

OpenDS4All

OpenDS4All project, hosted by LF AI & Data

python-snappy

Python bindings for the snappy google library

usbrelay

Control usb relay - based on hidapi

micro-manager

Microscope control and image acquisition integrated with ImageJ

pycro-manager

Python control of micro-manager for customized data acquisition

AtvK4200Lpt

ATV K4200 Python module to control the Keithley 4200 SCS instrument functions from Python.

gdrive2

File management tools for Google Drive using pydrive

Opinosis

Opinosis is a graph based approach to abstractive summarization of highly redundant opinion. More details can be found at http://timan.cs.uiuc.edu/downloads.html

MarketOwl

Tool for Portfolio Managers to track market, industry sentiment and credibility trends for S&P 500 companies

Exercise-Tracker

MERN Stack

Python-Data-Pipeline-for-Snowflake-

Generalized code for doing pulling and pushing data to snowflake using python

KerasImageGenerator

Use Keras image generator to directly read images from different directories and train deep learning models for these images.

TextProcessingPackage

Most of the NLP problem requires a few steps or a combination of few steps to preprocess data. This repository is an attempt to reduce any user's effort on data preprocessing, making it easier for them to focus on applying different models

Apache-Airflow

Setting up and doing projects with apache airflow

Apache-Nifi

Setting Up and Pipelines using Nifi

Elastic-Search

Setting up Elastic Search and performing data pipelining and transformation.

MarketOwl

Tool for Portfolio Managers to track market, industry sentiment and credibility trends for S&P 500 companies

WheatClassification

(PyTorch Image Reader) Wheat is a staple across the globe, which is why this competition must account for different growing conditions. Models developed for wheat phenotyping need to be able to generalize between environments. If successful, researchers can accurately estimate the density and size of wheat heads in different varieties. With improved detection farmers can better assess their crops, ultimately bringing cereal, toast, and other favorite dishes to your table.

HyperUnmixing