UCLAIS / Machine-Learning-TutorialsLinks
Materials for UCL Artificial Intelligence Society Machine Learning Tutorials Season 1 (2020/2021)
☆22Updated 4 years ago
Alternatives and similar repositories for Machine-Learning-Tutorials
Users that are interested in Machine-Learning-Tutorials are comparing it to the libraries listed below
Sorting:
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆98Updated 2 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆72Updated 3 weeks ago
- Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Emb…☆251Updated 5 years ago
- Python notebooks for Numerical Analysis☆156Updated 7 months ago
- My lecture notes during times at UCL.☆35Updated 4 years ago
- Implementation of Markov Chain Monte Carlo in Python from scratch☆226Updated 5 years ago
- Implementation of restricted Boltzmann machines in Tensorflow 2☆28Updated 2 years ago
- Bayesian Methods for Machine Learning☆65Updated 6 years ago
- A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.☆47Updated last year
- This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube☆247Updated 7 years ago
- Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).☆60Updated 4 years ago
- Implement Reservoir Computing models for time series classification, clustering, forecasting, and much more!☆415Updated 10 months ago
- Python codes for Introduction to Computational Stochastic PDE☆49Updated last month
- Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch☆160Updated 7 years ago
- Code for tensor classification.☆15Updated 3 years ago
- IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Sy…☆160Updated 4 years ago
- A Python module implementing some standard algorithms used in nonlinear time series analysis☆192Updated last year
- Echo State Networks with TensorFlow☆37Updated 5 years ago
- Code for the paper "Next Generation Reservoir Computing"☆189Updated last month
- Python library for Reservoir Computing using Echo State Networks☆142Updated 5 years ago
- Markov Chain Monte Carlo (MCMC) and importance sampling in the context of Bayesian linear regression☆11Updated 7 years ago
- Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Ti…☆53Updated 3 years ago
- RNN and general weights, gradients, & activations visualization in Keras & TensorFlow☆181Updated last year
- ☆12Updated 3 years ago
- 🍟 Stanford CS229: Machine Learning☆27Updated 7 years ago
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆156Updated 5 years ago
- Coursera Computational-NeuroScience course of the University of Washington☆89Updated 3 years ago
- ☆127Updated 8 years ago
- Harvard Applied Math 205: Code Examples☆97Updated 3 years ago
- This repository serves as a container for material around the Brian simulator, such as presentations and tutorials.☆41Updated last year