phoitack

amazon-braket-pennylane-plugin-python

A plugin for allowing Xanadu PennyLane to use Amazon Braket devices

AnyLogic-Pypeline

A custom AnyLogic library for running Python inside an AnyLogic model (Java)

around-dataengineering

A Data Engineering & Machine Learning Knowledge Hub

awesome-quantum-computing

A curated list of awesome quantum computing learning and developing resources.

bonsai-simulink

Microsoft Bonsai Simulink Toolbox and sample models

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deploymentmanager-samples

Deployment Manager samples and templates.

DIAMBRAenvironment

DIAMBRA Environment

GeneralChemistry

Study guide for general chemistry

gpml

This repo contains all the code required by the book organized by chapter

Graph_Powered_ML_Workshop

Material and Notebooks for the Graph Powered ML Workshop.

MachineLearningNotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

madgrad

MADGRAD Optimization Method

maro

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

Mastering-Unsupervised-learning-with-Python

Code Repository for Mastering Unsupervised learning with Python, Published by Packt

medium_articles

Scripts/Notebooks used for my articles published on Medium

MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

MLOpsPython

MLOps using Azure ML Services and Azure DevOps

moab

Project Moab, a new open-source balancing robot to help engineers and developers learn how to build real-world autonomous control systems with Project Bonsai.

Nystromformer

optimization

Operations Research and Industrial Engineering Optimization Techniques and Strategies

PhiFlow

Research-oriented differentiable fluid simulation framework

prep_material

A repository of material to help candidates prepare for the program

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

RationalNets

Code for the paper "Rational neural networks", NeurIPS 2020

sagemaker-deep-demand-forecast

Using Deep Learning for Demand Forecasting with Amazon SageMaker

simple-pid

A simple and easy to use PID controller in Python

spektral

Graph Neural Networks with Keras and Tensorflow 2.

Study-Saturday-Fullstack

React forms