Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
☆22Aug 6, 2018Updated 8 years ago
Alternatives and similar repositories for ds3_abi_exercises
Users that are interested in ds3_abi_exercises are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆13Oct 12, 2020Updated 6 years ago
- VAEs on Sparse Data☆12Oct 15, 2017Updated 9 years ago
- Supporting material for Princeton ORF522☆15Sep 28, 2026Updated 2 weeks ago
- PyTorch implementation of paper "Flat Metric Minimization with Applications in Generative Modeling"☆19May 14, 2019Updated 7 years ago
- Code for AISTATS 2017 paper on "Conjugate-Computation Variational Inference"☆20Jul 10, 2020Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- MatLab code for Srpinger book 'Advanced Data Analysis in Neuroscience'☆23May 20, 2018Updated 8 years ago
- Linear Mode Connectivity in Multitask and Continual Learning: https://arxiv.org/abs/2010.04495☆13Oct 12, 2020Updated 6 years ago
- Inference for diffusion processes with the use of `Guided Proposals`☆16Oct 20, 2020Updated 5 years ago
- ☆11Sep 20, 2019Updated 7 years ago
- Modeling Uncertainty in RNNs for Time Series Forecasting☆14Dec 13, 2017Updated 8 years ago
- Official code for "Flatten Graphs as Sequences: Transformers are scalable graph generators" (NeurIPS 2025)☆18Oct 17, 2025Updated last year
- Variational Bayesian GP-LVM model in MATLAB.☆12Jun 8, 2015Updated 11 years ago
- This repository contains my MSc dissertation project. Iti s an implementation of a streaming GMM algorithm in Spark.☆11Aug 25, 2018Updated 8 years ago
- Jax/Flax implementation of Variational-DiffWave.☆40Feb 27, 2022Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Code for the paper Gaussian process behaviour in wide deep networks☆46Aug 14, 2018Updated 8 years ago
- ☆23Apr 13, 2024Updated 2 years ago
- On-Policy Model-free Reinforcement Learning for simplified Blackjack (David Silver Assignement)☆11Nov 20, 2017Updated 8 years ago
- ☆17Oct 13, 2019Updated 7 years ago
- A Wasserstein Subsequence Kernel for Time Series.☆21Jun 17, 2024Updated 2 years ago
- Computing calibrated prediction intervals for neural network regressors☆10May 28, 2019Updated 7 years ago
- An R package providing datasets useful for testing clustering algorithms☆17Apr 11, 2018Updated 8 years ago
- Simple playground chat app that interacts with OpenAI's functions with memory and custom tools.☆17Jul 11, 2023Updated 3 years ago
- ☆10Oct 19, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Set of Lecture at Duke in 2018 by Lenka Zdeborova and Florent Krzakala "Statistical Physics For Optimization and Learning"☆17Dec 22, 2019Updated 6 years ago
- Factorization Machines for Julia☆11Aug 26, 2016Updated 10 years ago
- Just some experiments on GANs hallucinating data samples for an incremental learner.☆18Jul 17, 2017Updated 9 years ago
- Parametric Gaussian Process Regression for Big Data☆47Feb 20, 2020Updated 6 years ago
- This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…☆43Feb 3, 2023Updated 3 years ago
- Code for experiments to learn uncertainty☆31Mar 16, 2023Updated 3 years ago
- Code for Galgali et al, 2023☆15Jan 11, 2023Updated 3 years ago
- Material for lectures and exercises of the SIB course "Advanced topics in single-cell transcriptomics" (May 2020)☆18May 29, 2020Updated 6 years ago
- Analysis code for the results of the spikefinder challenge☆12Feb 19, 2018Updated 8 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Deep RL Baselines and homework assignments of UC Berkeley CS 285☆12Jul 12, 2022Updated 4 years ago
- Psych-GA.2207 Categories and Concepts☆17Nov 6, 2023Updated 2 years ago
- Filter Response Normalization tested on better ImageNet baselines.☆35Mar 28, 2020Updated 6 years ago
- Implementation of the paper "Direct Optimization through argmax for discrete Variational Auto-Encoder"☆15Sep 15, 2020Updated 6 years ago
- Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…☆22May 7, 2022Updated 4 years ago
- Revealing neural correlates of behavior without behavioral measurements☆18Nov 18, 2019Updated 6 years ago
- Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles. Published at Uncertainty in AI (UAI) 2020.☆11Aug 31, 2020Updated 6 years ago