carlhenrikek / COMS30007
☆83Updated 5 years ago
Alternatives and similar repositories for COMS30007:
Users that are interested in COMS30007 are comparing it to the libraries listed below
- Lab worksheets for the Applied Deep Learning Course.☆16Updated 6 years ago
- Unit website☆12Updated 2 months ago
- COMSM0045 Applied Deep Learning Labsheets 2024☆16Updated 2 months ago
- A list of resources used in Applied Data Science☆15Updated 4 years ago
- Lecture notes on Bayesian deep learning☆482Updated 6 years ago
- Implementing Bayes by Backprop☆183Updated 5 years ago
- Exercises and supplementary material for the deep learning course 02456.☆99Updated 6 years ago
- Lab sheets for COMS21202 2019/2020☆16Updated 4 years ago
- Materials for EECS 445, an undergraduate Machine Learning course taught at the University of Michigan, Ann Arbor.☆95Updated 8 years ago
- Short Course on Optimization for Machine Learning - Slides and Practical Labs - DS3 Data Science Summer School, June 24 to 28, 2019, Pari…☆20Updated 5 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆64Updated 6 years ago
- STAT406 @ UBC - "Elements of Statistical Learning"☆3Updated 5 years ago
- Gaussian process regression demo in Javascript☆35Updated 7 years ago
- Lab assignments for the Deep Learning course at the University of Amsterdam☆20Updated 6 years ago
- A structured list of resources about Sum-Product Networks (SPNs)☆252Updated 4 years ago
- Codebase for our paper "URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks"☆18Updated 2 years ago
- A list of notes on Bayesian deep learning papers☆53Updated 2 years ago
- Off the convex path☆67Updated last year
- Tensorflow implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks". It explains connections between…☆16Updated 5 years ago
- Examples and experiments around ML for upcoming Coding Train videos☆955Updated 3 years ago
- A curated list of resources dedicated to bayesian deep learning☆414Updated 7 years ago
- Code for https://fosterelli.co/executing-gradient-descent-on-the-earth☆69Updated 5 months ago
- Slides and lecture notes for the course 'machine learning I' taught at the Graduate School Neural Information Processing in Tuebingen.☆29Updated 9 years ago
- Notes from various courses at the University of Waterloo.☆83Updated 5 years ago
- STATS305C: Applied Statistics III (Spring, 2023)☆23Updated last year
- DS-GA-1011 Natural Language Processing with Representation Learning☆81Updated 7 years ago
- A simple and modern template for your [academic] CV☆51Updated 10 months ago
- PyTorch implementations of recent optimization algorithms for deep learning.☆61Updated 4 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆81Updated 7 months ago
- ☆9Updated 4 years ago