1436 Open source projects that are alternatives of or similar to Pyfts

A python implementation of DEPTA

Email clustering with machine learning

Principles and Techniques of Data Science, the textbook for Data 100 at UC Berkeley

Data processing and modelling framework for automating tasks (incl. Python & SQL transformations).

Learn to Build a Machine Learning Application from Top Articles

A collection of Jupyter/IPython notebooks

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

A site that displays up to date COVID-19 stats, powered by fastpages.

General Assembly's 2015 Data Science course in Washington, DC

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

Neural network architecture for time series forecasting.

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

This project is meant to provide resources to users who want to access good LinkedIn posts which contains resources to learn any Technology, Design, Self-Branding, Motivation etc. You can visit project by:

Main repository for R programming courses @ University of Cincinnati, courses and tutorials that focus on data wrangling, exploration, visualization, and analysis with R.

Machine learning contest - October 2016 TLE

Projeto de análise de contratos com suspeita de superfaturamento e má qualidade na prestação de serviços.

CRAN R Package: Time Series Missing Value Imputation

Provides access to complex Bioinformatics software (even BioLinux!) in just one command.

🔥🐻 The Speakeasy Scripting Engine Which Combines Speed, Safety, and Simplicity

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

An R package to test for batch effects in high-dimensional single-cell RNA sequencing data.

tsbox: Class-Agnostic Time Series in R

Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

🌎 machine learning tutorials (mainly in Python3)

EvalML is an AutoML library written in python.

Live Quant Trading Framework for Robinhood, using IEX Trading and AlphaVantage for Free Prices.

Build a data visualization dashboard with simple snippets of python code

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Data Analysis program and framework for materials science data analytics, based on the managing framework SIMPL framework.

🌊 Online machine learning in Python

A clojure/clojurescript notebook application/-library based on Gorilla-REPL

ML made simple

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

Deep learning for forecasting company fundamental data

JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

Roadmap to learn Data Science and related areas.

Data science and AI solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains

Welcome everyone!🌟 Here you can solve problems, build scrappers and much more💻

Ruby parser to work with ISO8601 dateTimes and durations — http://en.wikipedia.org/wiki/ISO_8601

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

🍧 A repository that contains courses I have taken on DataCamp

Statistical Interactive Visualization with pandas+Jupyter integration on top of Echarts.

Axibase Time Series Database Documentation

List of tools & datasets for anomaly detection on time-series data.

The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals

Collecting metrics over discrete time intervals

An easy-to-use interface for measuring uncertainty and robustness.

A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译

Survival analysis in Python

DLTK Model Zoo

Datasets, tools, and benchmarks for representation learning of code.

🍰 doddle-model: machine learning in Scala.

A curated list of awesome scientific Python resources

Official community-driven Azure Machine Learning examples, tested with GitHub Actions

A searchable compilation of Kaggle past solutions

Achieve your marketing goals with the data analytics power of Python