1702 Open source projects that are alternatives of or similar to gcf-packs

Python Tutorials for Data Science

Precompiled packages for AWS Lambda

A value investing tool based on Warren Buffett, Joseph Piotroski and Benjamin Graham thoughts

Programming with Python

Awesome Spectral Indices in Python.

Mypy stubs, i.e., type information, for numpy, pandas and matplotlib

Manipulate JSON-like data with NumPy-like idioms.

Advanced Pandas Vault — Utilities, Functions and Snippets (by @firmai).

Apache OpenWhisk is an open source serverless cloud platform

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.

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

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

Functionalities in Excel translated to Python

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

This is Andrew NG Coursera Handwritten Notes.

🍊 📊 💡 Orange: Interactive data analysis

Apache OpenWhisk Runtime .Net supports Apache OpenWhisk functions written in .Net languages

TypeScript template for Google Cloud Functions

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

🎪 End-to-end testing made simple (using Jest and Puppeteer)

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

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

The program on a given grid from a file builds an approximation of the function by a piecewise linear basis. Made mostly in Russian, because of university subject.

Apache OpenWhisk Runtime Python supports Apache OpenWhisk functions written in Python

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

Hello DSC Leads, Automate your process of adding attendees manually.

Data-frames & arrays on Clojure

N-D labeled arrays and datasets in Python

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Technical Analysis Library using Pandas and Numpy

📖 每一个伟大的思想和行动都有一个微不足道的开始

A clothing retrieval and visual recommendation model for fashion images.

Instagram comment scraper using python and selenium. Save the comments into excel.

Repository to store sample python programs for python learning

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Bootcamp to learn Python for Machine Learning

微信机器人，基于Python itchat接口功能实例展示：01-itchat获取微信好友或者微信群分享文章、02-itchat获取微信公众号文章、03-itchat监听微信公众号发送的文章、04 itchat监听微信群或好友撤回的消息、05 itchat获得微信好友信息以及表图对比、06 python打印出微信被删除好友、07 itchat自动回复好友、08 itchat微信好友个性签名词云图、09 itchat微信好友性别比例、10 微信群或微信好友撤回消息拦截、11 itchat微信群或好友之间转发消息

Apache OpenWhisk Runtime NodeJS supports Apache OpenWhisk functions written in JavaScript for NodeJS

Apache OpenWhisk Runtime PHP supports Apache OpenWhisk functions written in PHP

The Apache OpenWhisk Kubernetes Deployment repository supports deploying the Apache OpenWhisk system on Kubernetes and OpenShift clusters.

📚 Various cheatsheets in PDF

Repository for the projects needed to complete the Data Analyst Nanodegree.

The simplest demo of chrome automation by python and selenium in AWS Lambda

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

Helpful Selenium functions to make web-scraping easier and faster

A guide to getting started with Data Science and ML.

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

Apache OpenWhisk Runtime Go supports Apache OpenWhisk functions written in Go

Apache OpenWhisk SDK for building Docker "blackbox" runtimes

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

2.5k code solutions with clear explanation @ onelinerhub.com

These are the projects I did on my Udacity Deep Learning Nanodegree 🌟 💻 💻. 💥 🌈

SADDLE: Scala Data Library

Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:

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

Performance analysis of predictive (alpha) stock factors

Apache OpenWhisk Runtime Java supports Apache OpenWhisk functions written in Java and other JVM-hosted languages

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

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