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list of open data wind turbine data sets
This project deals with learning to reproduce the input-output behavior of state-space models using recurrent neural networks and the Keras machine learning toolbox.
TensorFlow is an open-source software library for highperformance numerical computation. Its flexible architecture enables to easily deploy computation across a variety of platforms (CPUs, GPUs, an…
The Regression of Center Coordinates and Radius of Solar Disk
Export pinned Arc Browser tabs for importing bookmarks into other browsers
A crash course in six episodes for software developers who want to become machine learning practitioners.
A simplified implemention of Faster R-CNN that replicate performance from origin paper
General support files for using the STM32F0xx MCU
Transformer-based Powered Descent Guidance (T-PDG), a scalable algorithm for reducing the computational complexity of the direct optimization formulation of the spacecraft powered descent guidance …
Sequential Convex Programming Toolbox for nonconvex trajectory optimization.
Models and examples built with TensorFlow
Here, we implement regularized linear regression to predict the amount of water flowing out of a dam using the change of water level in a reservoir. In the next half, we go through some diagnostics…
A Convolutional Neural Network model for detecting the parameters of the circle present inside of a given image under the presence of noise.
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
This is the official repository for the "doggo dot jl" YouTube channel (fka "julia for talented amateurs").
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
This repository contains all the Lab and Assignments from Andrew NG Machine Learning Specialization Course on Coursera.
# Eigenfish Ideas by the wonderful ["Computational Discovery on Jupyter"](https://computational-discovery-on-jupyter.github.io/Computational-Discovery-on-Jupyter/index.html) by Neil J. Calkin, Euni…
OrbitalTrajectories.jl is a modern orbital trajectory design, optimisation, and analysis library for Julia, providing methods and tools for designing spacecraft orbits and transfers via high-perfor…
Reinforcement Learning Algorithms with Pytorch and OpenAI's Gym
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…
A reproducible project with over 130,000 logged Halo orbits, notebooks, and papers related to astrodynamics!
Simulation of the classical two-body problem in the context of the earth and artificial satellites.
Neural Network Projects with Python, Published by Packt
Hands-on Deep Reinforcement Learning, published by Packt