Sepideh Saran's starred repositories
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
bayesian-neural-network-pytorch
PyTorch implementation of bayesian neural network [torchbnn]
code-review-checklist
This code review checklist helps you be a more effective and efficient code reviewer.
neptune-client
📘 The experiment tracker for foundation model training
Awesome-LLM-Uncertainty-Reliability-Robustness
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
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).
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.
probai-2023
Materials of the Nordic Probabilistic AI School 2023.
Bayesian_neural_network_papers
Papers for Bayesian-NN
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
latex-resources
Collection of LaTeX resources and examples.
Quicksetup-ai
A flexible template, as a quick setup for deep learning projects in pytorch-lightning
GPU-Puzzles
Solve puzzles. Learn CUDA.
InfluenceFunctions
Review and analysis of the ICML 2017 best paper: "Understanding Black-box Predictions via Influence Functions"