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🍪 Cookiecutter template for production level API services with machine learning.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Dramatiq extension to abort message
ML made simple
Automation of Interactive Brokers TWS. You can download the latest release here: https://github.com/ibcalpha/ibc/releases/latest
Use the Kaggle kernels environment on mybinder.org
import from https://gitlab.com/mayankjohri/LetsExplorePython
The Prefect Core automation engine
Repo for simple RISE presentations
Installing packages with pip and conda
In this article I'll demonstrate some sort of a framework for working on machine learning projects. As you may know, machine learning in general is about extracting knowledge from data therefore, most of machine learning projects will depend on a data collection - called dataset - from a specific domain on which, we are investigating a certain problem to build a predictive model suitable for it. This model should follow certain set of steps to accomplish its purpose, In the following sections I will practically, introduce a simplified clarification about the main steps for performing statistical learning or building machine learning model
public test
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.