COMSM0045-Applied-Deep-Learning / COMSM0045-Applied-Deep-Learning.github.io
Unit website
☆12Updated 2 months ago
Alternatives and similar repositories for COMSM0045-Applied-Deep-Learning.github.io:
Users that are interested in COMSM0045-Applied-Deep-Learning.github.io are comparing it to the libraries listed below
- ☆83Updated 5 years ago
- Lab worksheets for the Applied Deep Learning Course.☆16Updated 6 years ago
- Tools for training explainable models using attribution priors.☆120Updated 3 years ago
- An experiment with "freely" wired neural networks (no layers)☆163Updated 6 months ago
- On disentangling the menagerie of disentanglement papers☆27Updated 5 years ago
- Code for https://fosterelli.co/executing-gradient-descent-on-the-earth☆69Updated 5 months ago
- Exercises and supplementary material for the deep learning course 02456.☆99Updated 6 years ago
- Implementing Bayes by Backprop☆183Updated 5 years ago
- Tensorflow implementation of Adversarial Autoencoders☆247Updated 6 years ago
- python notebooks for revising machine learning basics☆29Updated 6 years ago
- A sample of the notMNIST dataset in MNIST format so you can drop new data into your existing MNIST neural nets☆76Updated 6 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆140Updated 6 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆333Updated 3 years ago
- Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!☆278Updated 3 years ago
- Understanding normalizing flows☆131Updated 5 years ago
- Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".☆261Updated last year
- Implements stochastic line search☆118Updated last year
- PyTorch implementations of recent optimization algorithms for deep learning.☆61Updated 4 years ago
- A Library for Modelling Probabilistic Hierarchical Graphical Models in PyTorch☆49Updated 4 years ago
- Lab assignments for the Deep Learning course at the University of Amsterdam☆20Updated 6 years ago
- ☆219Updated 6 years ago
- Materials for the practical sessions at EEML2019☆79Updated 4 years ago
- Compile markdown into an html and pdf book based on pandoc.☆186Updated 3 years ago
- A Machine Learning workflow for Slurm.☆149Updated 4 years ago
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 3 years ago
- ☆351Updated 6 years ago
- Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow☆71Updated 8 years ago
- A structured list of resources about Sum-Product Networks (SPNs)☆252Updated 4 years ago
- Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning☆86Updated 6 months ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆285Updated last year