Warning: the project is very much work in progress.
Valves is a collection of functions for your data .pipe()-lines.
This project aimes to host a few performant implementations of functions that are common in industry. This gives us an opportunity to share sensible implementations but it also allows us to compare the performance across libraries. For now the project mainly targets polars, pandas and dask.
Template Script Category Description Category script comparison script train.py, loader.py for single-machine-multiple-cards training train_DP.py, tra
Legate NumPy is a Legate library that aims to provide a distributed and accelerated drop-in replacement for the NumPy API on top of the Legion runtime. Using Legate NumPy you do things like run the f
ToeholdTools Category Status Repository Package Build Quality A library for the analysis of toehold switch riboregulators created by the iGEM team Cit
Epistemic Model Checker This is a model checker for verifying properties in epistemic models. The goal of the model checker is to check for Pluralisti
Transform application Lifecycle Data and Design and ETL pipeline architecture for ingesting data from multiple sources to redshift This project is composed of two parts: Part1 and Part2
largeVis This is an implementation of the largeVis algorithm described in (https://arxiv.org/abs/1602.00370). It also incorporates: A very fast algori
Tokyo 2020 Paralympics, Analytics Thanks for checking out my app! It was built entirely using matplotlib and Tokyo 2020 Paralympics data. This applica
Minimal Pandas API for Polars Install From PyPI: pip install minimal-pandas-api-for-polars Example Usage (see tests/test_minimal_pandas_api_for_polars
This tutorial's purpose is to introduce Pythonistas to methods for scaling their data science and machine learning work to larger datasets and larger models, using the tools and APIs they know and lo
Created covid data pipeline using PySpark and MySQL that collected data stream from API and do some processing and store it into MYSQL database.
RPA Challenge in Python Projeto para realizar o RPA Challenge (www.rpachallenge.com), utilizando Python. O objetivo deste desafio é criar um fluxo de
hmmlearn hmmlearn is a set of algorithms for unsupervised learning and inference of Hidden Markov Models. For supervised learning learning of HMMs and
Stochastic Gradient Trees - Python Stochastic Gradient Trees1 by Henry Gouk, Bernhard Pfahringer, and Eibe Frank implementation in Python. Based on th
Population Shift Monitoring popmon is a package that allows one to check the stability of a dataset. popmon works with both pandas and spark datasets.
Spectacular AI SDK examples Spectacular AI SDK fuses data from cameras and IMU sensors (accelerometer and gyroscope) and outputs an accurate 6-degree-
xlwings_query Import, connect and transform data into Excel. Description The concept is to apply data transformations to a main query object. When the
The repo for mlbtradetrees.com. Analyze any trade in baseball history!
Curve Sorry to tell contributors and users. We decided to archive the project temporarily due to the employee work plan of collaborators. There are no
VarDACAE This module is used to create Convolutional AutoEncoders for Variational Data Assimilation. A user can define, create and train an AE for Dat
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Introduction Graph Neural Networks (GNNs) have demonstrated
2 Jun 27, 2022
502 Jan 03, 2023
0 Dec 01, 2021
2 Dec 22, 2021
1 Jan 19, 2022
336 May 25, 2022
1 Nov 18, 2021
6 Oct 16, 2022
102 Nov 10, 2022
2 Nov 20, 2021
1 Apr 12, 2022
2.7k Jan 03, 2023
2 Nov 18, 2022
403 Dec 07, 2022
94 Jan 04, 2023
1 Jan 19, 2022
7 Nov 20, 2022
486 Dec 21, 2022
23 Dec 16, 2022
37 Dec 15, 2022