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18.337 - Parallel Computing and Scientific Machine Learning
Course 18.S191 at MIT, Spring 2021 - Introduction to computational thinking with Julia:
30 days of Python programming challenge is a step by step guide to learn the Python programming language in 30 days. This challenge may take up to 100 days, follow your own pace.
A resource repository for 3D machine learning
Generating 3D Voxel Models with Generative Adversarial Networks - Implemented in Tensorflow
Public repository for 3D-MILP paper.
Learning Descriptor Networks for 3D Shape Synthesis and Analysis
3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
for cvpr2015 project 3DShapeNets
ABC: A Big CAD Model Dataset For Geometric Deep Learning
Fast and embedded solvers for nonlinear optimal control
Python Active-subspaces Utility Library
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
A Python toolkit for rule-based/unsupervised anomaly detection in time series
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
Materials for the AI Dev 2024 "Deploy and Monitor ML Pipelines with Open Source and Free Applications" workshop
Self-study on Larry Wasserman's "All of Statistics"
The Amazon Lookout for Equipment Python SDK is an open-source library that allows you to easily build, train and deploy anomaly detection models for industrial time series data using Amazon Lookout for Equipment
A python package for battery models
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Anomalous time series package for R (ACM)
Anomaly detection related books, papers, videos, and toolboxes
A MATLAB matrix collection with an interface to organize matrices
This Proof of Concept (PoC) code demonstrates a simple implementation of API request security using RSA signatures and nonces. The code is written in Python and utilizes the Flask framework. This code is mentioned in posts mentioned here: https://mwalkowski.github.io/#posts
Applied Deep Learning
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
An object-oriented MATLAB toolbox for the approximation of functions and tensors
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html
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.