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Name: carlos
Type: User
Location: Houston
Name: carlos
Type: User
Location: Houston
A curated list of awesome Machine Learning frameworks, libraries and software.
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python
A Python tool that automatically cleans data sets and readies them for analysis.
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
Feature engineering package with sklearn like functionality
An open source python library for automated feature engineering
This is a collection of geostatistical scripts written in Python, and updated to support Python 3+.
Algorithms Implemented in GoLang
Algorithms and data structures for golang
Machine Learning for Go
On-line Machine Learning in Go (and so much more)
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
Gorgonia is a library that helps facilitate machine learning in Go.
Gota: DataFrames and data wrangling in Go (Golang)
Grumpy is a Python to Go source code transcompiler and runtime.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Introduction to Statistics using Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
3-hour tutorial on building deep learning models with Keras.
Machine Learning With Go, published by Packt
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
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.