SimoneStefani / kth-dd2421
Machine Learning (DD2421) at Royal Institute of Technology KTH
☆7Updated 7 years ago
Alternatives and similar repositories for kth-dd2421:
Users that are interested in kth-dd2421 are comparing it to the libraries listed below
- Scripts for optimization class☆9Updated 6 years ago
- Course Material for my course Linear Algebra 2 (in french)☆11Updated 7 months ago
- ☆13Updated 3 years ago
- This repository contains the research project that enables the robot to automatically join a group based on the modeled personal, social …☆11Updated 6 years ago
- MATH/STAT 4540/5540 Introduction to Time Series, spring 2022☆8Updated 2 years ago
- This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyM…☆24Updated 5 years ago
- Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'☆10Updated last year
- ☆8Updated 4 years ago
- ☆22Updated 3 years ago
- Jupyter notebook and the like to discover the beautiful world of Reproducing Kernel Hilbert Spaces☆10Updated 6 years ago
- Code for the paper "Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks"☆11Updated 3 years ago
- This is the home of the Hands on Deep Learning Tutorial of the Lecture Computational Intelligence @KIT☆15Updated 10 months ago
- Bayesian Deep Learning and Deep Reinforcement Learning for Object Shape Error Response and Correction of Manufacturing Systems☆42Updated last year
- tensorflow2---CV、GNN论文复现☆10Updated 3 years ago
- Implementation of an Unscented Kalman Filter with PyTorch.☆13Updated 4 years ago
- Contains all presentations for Deep Learning Sydney Meetup 2018 02☆18Updated 6 years ago
- Internship after second year of cycle engineer. Developing deep learning models to directly predict vessel movements from images of sea …☆13Updated 5 years ago
- An exploration of mixture density networks☆32Updated 7 years ago
- Implementation of restricted Boltzmann machine, deep Boltzmann machine, deep belief network, and deep restricted Boltzmann network models…☆13Updated 4 years ago
- This repo contains the code for our AAAI-Workshop paper "Learning disentangled representations from 12-lead electrograms: application in …☆11Updated 6 years ago
- This is a webpage for course notes for McGill Math 562/Comp562, Winter 2022, Theory of Machine Learning☆8Updated last year
- ☆14Updated 7 years ago
- Incremental and Adaptative Gaussian Mixture Model Library is an implementation of a machine learning algorithms based on GMM. The algorit…☆12Updated 4 years ago
- Library for Bayesian Quadrature☆31Updated 5 years ago
- Deep learning lecture☆12Updated 4 years ago
- Course notes and other public-facing content☆13Updated 9 months ago
- Incremental Learning of Gaussian Mixture Models (IGMM)☆28Updated 6 years ago
- Code for the simulations in the neural Kalman filtering paper☆16Updated 3 years ago
- Official code repository for Latent Neural Differential Equations for Video Generation.☆19Updated 2 years ago
- Time series distance measures☆24Updated 2 years ago