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18337

18.337 - Parallel Computing and Scientific Machine Learning

18s191

Course 18.S191 at MIT, Spring 2021 - Introduction to computational thinking with Julia:

30-days-of-python

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.

3d-machine-learning

A resource repository for 3D machine learning

3d_gan_tensorflow

Generating 3D Voxel Models with Generative Adversarial Networks - Implemented in Tensorflow

3d_milp

Public repository for 3D-MILP paper.

3ddescriptornet

Learning Descriptor Networks for 3D Shape Synthesis and Analysis

3dmatch-toolbox

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

3dshapenets

for cvpr2015 project 3DShapeNets

abc-dataset

ABC: A Big CAD Model Dataset For Geometric Deep Learning

acados

Fast and embedded solvers for nonlinear optimal control

active_subspaces

Python Active-subspaces Utility Library

adaptive

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

adtk

A Python toolkit for rule-based/unsupervised anomaly detection in time series

adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

ai-feynman

amazon-lookout-for-equipment-python-sdk

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

ampere

A python package for battery models

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

anomalous-acm

Anomalous time series package for R (ACM)

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

anymatrix

A MATLAB matrix collection with an interface to organize matrices

api-request-security-poc

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

Applied Deep Learning

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

approximate-infinite-dimensional-rcovds

approximationtoolbox

An object-oriented MATLAB toolbox for the approximation of functions and tensors

apricot

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

archai

Reproducible Rapid Research for Neural Architecture Search (NAS)

artificial-intelligence-and-machine-learning

A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm