622 Open source projects that are alternatives of or similar to fal

Simple stock price analytics

This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.

DatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library

Enabling easy statistical significance testing for deep neural networks.

Reading and writing pandas DataFrames in Elasticsearch

Package for dbt that allows users to train, audit and use BigQuery ML models.

Analyzing Trump's tweets using Python (Pandas + Twitter workshop)

Open-source datasets for anyone interested in working with network anomaly based machine learning, data science and research

Example notebooks illustrating MovingPandas use cases

Fivetran's ad reporting dbt package. Combine your Facebook, Google, Pinterest, Linkedin, Twitter, Snapchat and Microsoft advertising spend using this package.

Formatting for dbt jinja-flavored sql

Deprecated: Use the @encapsule/arccore package that includes the graph library

A Los Angeles Times analysis of Every shot in Kobe Bryant's NBA career

mml-book-chinese《Mathematics For Machine Learning》机器学习中的数学 中文版

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

Containerized end-to-end analytics of Spotify data using Python, dbt, Postgres, and Metabase

dbt-sugar is a CLI tool that allows users of dbt to have fun and ease performing actions around dbt models

Heart Disease prediction using 5 algorithms

Learning materials to get started with Python using Pandas, a library to manipulate Data.

Helper code to interact with Rasgo via our SDK, PyRasgo

Download data from EOD historical data https://eodhistoricaldata.com/ using Python, Requests and Pandas.

A dbt adapter for Databricks.

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.

Small library to read serialized protobuf(s) directly into Pandas Dataframe

Predicts the best chess move with 27.5% accuracy by a single matrix multiplication

Engezny is a python package that quickly generates all possible charts from your dataframe and saves them for you, and engezny is only supporting now uni-parameter visualization using the pie, bar and barh visualizations.

GIMLeT – Gestural Interaction Machine Learning Toolkit

Blazing fast data modeling and enrichment

No description or website provided.

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

Double Trouble in the Double Descent Curve with Optical Processing Units.

Nested Sampling post-processing and plotting

A curated list of awesome dbt resources

Data ETL & Analysis on the global and Mexican datasets of the COVID-19 pandemic.

Framework for algorithmic trading

Facial Expression Recognition

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.

Koalas: pandas API on Apache Spark

Algorithmic trading using machine learning.

Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices

Using Project Jupyter for data science.

Execution of DBT models using Apache Airflow through Docker Compose

High-performance runtime for data analytics applications

A scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.

Analyze Data with Pandas-based Networks. Documentation:

A WhatsApp Chat analyzer and statistics.

Kaggle Struggle

Machine Learning for Spot Prices

A Python module for creating Excel XLSX files.

NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil

Bootcamp to learn Python for Machine Learning

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

Service identification on ciphered traffic.

Powerful product analytics for data teams, with full control over data & models.

Boot Finder demonstrates the power of using on-device machine learning models to delight users in new and innovative ways. It's private too! Because this model runs on-device, customer photos never leave the phone!

A REST API to serve machine learning and deep learning models

This library was developed for economic analysis in the Brazilian scenario (Investments, micro and macroeconomic indicators)