benelot / eth-machine-learning-summaryLinks
We cherry-pick the most understandable explanations and definitions into one summary to summarize the content of the lecture about Machine Learning of Prof. Joachim Buhmann.
☆44Updated 8 years ago
Alternatives and similar repositories for eth-machine-learning-summary
Users that are interested in eth-machine-learning-summary are comparing it to the libraries listed below
Sorting:
- ☆115Updated last year
- Public repository for CIL☆40Updated 4 years ago
- Materials for Bayesian Methods in Machine Learning Course☆90Updated last week
- Notebooks explaining the intuition behind the Expectation Maximisation algorithm☆39Updated 6 years ago
- Deep learning in a spiking neural network using segregated dendrites.☆84Updated 8 years ago
- Structured Inference Networks for Nonlinear State Space Models☆274Updated 8 years ago
- Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.☆384Updated 4 years ago
- Implementation of the algorithms presented in the paper "Fast and Accurate Least-Mean-Squares Solvers".☆77Updated 5 years ago
- Training neural networks with target propagation☆13Updated 8 years ago
- ☆30Updated 5 years ago
- LATEX: TikZ package for drawing neural networks. Also available on CTAN at http://www.ctan.org/tex-archive/graphics/pgf/contrib/neuralne…☆244Updated 4 years ago
- code for Structured Variational Autoencoders☆350Updated 7 years ago
- ☆96Updated 7 years ago
- Convolutional deep neural network with biology-inspired learning rule (Hebbian and reward-based learning)☆50Updated 7 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆127Updated 4 years ago
- Implementing Bayes by Backprop☆184Updated 6 years ago
- This was my private research codebase during grad school. After graduation I made it all public☆125Updated 6 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆173Updated last year
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆72Updated 9 years ago
- Guided Evolutionary Strategies☆272Updated 2 years ago
- ☆155Updated 6 years ago
- Exercises and supplementary material for the deep learning course 02456.☆103Updated 7 years ago
- ☆83Updated 8 years ago
- Scikit-learn compatible estimation of general graphical models☆247Updated 2 months ago
- Code for experiments regarding importance sampling for training neural networks☆329Updated 3 years ago
- Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)☆603Updated 3 years ago
- Seamlessly integrate matplotlib figures as tensorflow summaries.☆120Updated 6 years ago
- Responses of 10,000 neurons to 2,800 natural images☆70Updated 6 years ago
- Tools for loading standard data sets in machine learning☆204Updated 2 years ago
- PyDeep is a machine learning / deep learning library with focus on unsupervised learning. The library has a modular design, is well docum…☆53Updated 3 years ago