Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)

Related tags

Deep Learningmachine-learningaiprobabilistic-programmingvariational-inferenceprobabilistic-models
Overview

ProbAI 2021 - Probabilistic Programming and Variational Inference Tutorial with Pryo

Day 1 (June 14)

Day 2 (June 15)

Day 3 (June 16)

Owner
PGM-Lab
PGM-Lab
GitHub Repository
(Preprint) Official PyTorch implementation of "How Do Vision Transformers Work?"

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The aim of the game, as in the original one, is to find a specific image from a group of different images of a person's face

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[NeurIPS'20] Multiscale Deep Equilibrium Models

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BaseCls BaseCls 是一个基于 MegEngine 的预训练模型库，帮助大家挑选或训练出更适合自己科研或者业务的模型结构

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Code accompanying "Adaptive Methods for Aggregated Domain Generalization"

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An integration of several popular automatic augmentation methods, including OHL (Online Hyper-Parameter Learning for Auto-Augmentation Strategy) and AWS (Improving Auto Augment via Augmentation Wise Weight Sharing) by Sensetime Research.

An integration of several popular automatic augmentation methods, including OHL (Online Hyper-Parameter Learning for Auto-Augmentation Strategy) and AWS (Improving Auto Augment via Augmentation Wise

45 Dec 08, 2022
JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python

jumpdiff jumpdiff is a python library with non-parametric Nadaraya─Watson estimators to extract the parameters of jump-diffusion processes. With jumpd

Rydin 28 Dec 10, 2022
Heart Arrhythmia Classification

This program takes and input of an ECG in European Data Format (EDF) and outputs the classification for heartbeats into normal vs different types of arrhythmia . It uses a deep learning model for cla

4 Nov 02, 2022
Quasi-Dense Similarity Learning for Multiple Object Tracking, CVPR 2021 (Oral)

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ETH VIS Research Group 327 Dec 27, 2022
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A python-image-classification web application project, written in Python and served through the Flask Microframework

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Pytorch implementations of the paper Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients

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PyTorch code for the "Deep Neural Networks with Box Convolutions" paper

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Egor Burkov 515 Dec 18, 2022
Code to reproduce the results for Statistically Robust Neural Network Classification, published in UAI 2021

Code to reproduce the results for Statistically Robust Neural Network Classification, published in UAI 2021

1 Jun 02, 2022
🌊 Online machine learning in Python

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OnlineML 4k Jan 02, 2023
This library provides an abstraction to perform Model Versioning using Weight & Biases.

Description This library provides an abstraction to perform Model Versioning using Weight & Biases. Features Version a new trained model Promote a mod

Hector Lopez Almazan 2 Jan 28, 2022