Introduction to Machine Learning in R
☆26May 7, 2021Updated 5 years ago
Alternatives and similar repositories for Introduction-to-Machine-Learning-in-R
Users that are interested in Introduction-to-Machine-Learning-in-R are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Deep Learning of Turbulent Scalar Mixing☆19Oct 6, 2019Updated 6 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆25May 2, 2018Updated 8 years ago
- Machine learning of linear differential equations using Gaussian processes☆27May 2, 2018Updated 8 years ago
- Tutorial on a number of topics in Deep Learning☆38Feb 20, 2020Updated 6 years ago
- Parametric Gaussian Process Regression for Big Data☆47Feb 20, 2020Updated 6 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆71May 26, 2020Updated 6 years ago
- Tutorial on Gaussian Processes☆67Feb 20, 2020Updated 6 years ago
- A step-by-step introduction to deep learning (a.k.a. neural network) models for scientists and engineers.☆13Aug 28, 2022Updated 3 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆67Feb 20, 2020Updated 6 years ago
- Backpropagation in Python, C++, and Cuda☆47Feb 17, 2020Updated 6 years ago
- Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python☆15Jan 21, 2020Updated 6 years ago
- Deep Learning of Vortex Induced Vibrations☆102Feb 21, 2020Updated 6 years ago
- ☆11May 18, 2026Updated last month
- Optimization framework for designing wind farms using computational fluid dynamics☆15Oct 6, 2020Updated 5 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- A collection of CFD papers related to fire-driven flows.☆16Apr 23, 2026Updated 2 months ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆17Aug 19, 2017Updated 8 years ago
- Everything you need to know about CNN in PyTorch☆11Nov 12, 2018Updated 7 years ago
- Karhunen-Loeve Expansions for Gaussian Random Fields in Python☆16Mar 24, 2014Updated 12 years ago
- Welcome to the Applied Computational Fluid Dynamics (CFD) Tutorials repository. This repository contains a series of hands-on tutorials d…☆17Nov 10, 2024Updated last year
- Active learning of GP hyperparameters following Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," (UAI 2014…☆16Aug 4, 2017Updated 8 years ago
- The official code respository for "Rethinking the role of frames for SE(3)-invariant crystal structure modeling" (ICLR 2025)☆21Oct 16, 2025Updated 8 months ago
- An Implementation of Mutli-layer Perceptron in C++☆10Jul 14, 2021Updated 4 years ago
- C++ implementation of multi-layer feed forward neural networks with back propagation algorithm.☆10Mar 30, 2016Updated 10 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Phase field solver for OpenFOAM v2.2.0☆27May 28, 2018Updated 8 years ago
- Lecture notes and exercises carried out as part of the Quantum Mechanics 1 course taught at Yachay Tech University.☆17Jan 27, 2026Updated 5 months ago
- ☆40May 20, 2021Updated 5 years ago
- Slides + Source Code + Data for an introductory course to NumPy, Matplotlib, SciPy, Scikit-Learn & TensorFlow Keras☆25May 11, 2026Updated 2 months ago
- OpenFOAM-based solvers, libraries, and test cases for simulating boiling flows.☆38Sep 27, 2025Updated 9 months ago
- VAN-GAN: Vessel Segmentation Generative Adversarial Network. A tool to segment 3D vascular networks without paired training data.☆22Jan 7, 2026Updated 6 months ago
- official code for paper "MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles"☆13Oct 20, 2020Updated 5 years ago
- Mirror of https://gitlab.nektar.info/nektar/nektar☆28Jul 31, 2015Updated 10 years ago
- Python code for solving Napier Stokes equation using finite volume method in the scenario of Lid driven flow. The quasi Rhie Chow algorit…☆19Dec 19, 2020Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Modeling Uncertainty in RNNs for Time Series Forecasting☆14Dec 13, 2017Updated 8 years ago
- Educational materials to learn how to employ Bayesian optimization techniques for parameter estimation of computational and statistical m…☆15Jul 6, 2023Updated 3 years ago
- A tool to connect POD and DMD☆10Jan 18, 2019Updated 7 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆152Feb 20, 2020Updated 6 years ago
- This is a open resource project for Artificial Intelligence☆13Mar 3, 2019Updated 7 years ago
- Showcasing how to rebuild a B-mode ultrasound image from an ultrasound probe.☆29May 2, 2021Updated 5 years ago
- ☆21Nov 19, 2017Updated 8 years ago