sepidehsaran

Forecasting-Model-Search

A system for automating selection and optimization of pre-trained models from the TAO Model Zoo

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

bnn-mean-field-vi

bayesian-neural-network-pytorch

PyTorch implementation of bayesian neural network.

code-review-checklist

This code review checklist helps you be a more effective and efficient code reviewer.

neptune-client

📘 The MLOps stack component for experiment tracking

Awesome-LLM-Uncertainty-Reliability-Robustness

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

velocity_package

time_series_analysis

Processing, analysing and visualising single-cell response time series, such as the dataset of HSPCs responding to IFN-α.

sanbomics_scripts

scripts and notebooks from sanbomics

uncertain_ground_truth

Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23 and ArXiv pre-print).

shap

A game theoretic approach to explain the output of any machine learning model.

vizro

Vizro is a toolkit for creating modular data visualization applications.

ExplainableAI.jl

Explainable AI in Julia.

languagetool

Style and Grammar Checker for 25+ Languages

awesome-bashrc

🚀 Collection of bash snippets/aliases that will save your time on the terminal

bayesianize

Bayesianize: A Bayesian neural network wrapper in pytorch

bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

B-LRP

B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks

probai-2023

Materials of the Nordic Probabilistic AI School 2023.

Bayesian_neural_network_papers

Papers for Bayesian-NN

appfs

Advanced (practical) Programming (for scientists) - Lecture at TU Berlin

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

doi2bib

Tool to convert a DOI to a BiBTeX entry (mainly "adapted" for the computer vision and machine learning communities)

latex-resources

Collection of LaTeX resources and examples.

Quicksetup-ai

A flexible template, as a quick setup for deep learning projects in pytorch-lightning

occam

Implementing Occam's razor from the Statistical and Bayesian views.

GPU-Puzzles

Solve puzzles. Learn CUDA.

InfluenceFunctions

Review and analysis of the ICML 2017 best paper: "Understanding Black-box Predictions via Influence Functions"