victorcroisfelt
Ph.d. fellow in the Connectivity Section, Aalborg University, Aalborg, Denmark. ..the blue bus is calling us..
Connectivity Section, Aalborg UniversityAalborg, Denmark
victorcroisfelt's Stars
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
iterative/dvc
🦉 Data Versioning and ML Experiments
google/or-tools
Google's Operations Research tools:
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
connorferster/handcalcs
Python library for converting Python calculations into rendered latex.
microsoft/torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
ImagineAILab/ai-by-hand-excel
Efficient-ML/Awesome-Model-Quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
uncertainty-toolbox/uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
akamaster/pytorch_resnet_cifar10
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
facebookresearch/mixup-cifar10
mixup: Beyond Empirical Risk Minimization
valeman/Awesome_Math_Books
aimerou/awesome-ai-papers
A curated list of the most impressive AI papers
ej0cl6/deep-active-learning
Deep Active Learning
aangelopoulos/conformal-prediction
Lightweight, useful implementation of conformal prediction on real data.
ENSTA-U2IS-AI/awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
BlackHC/toma
Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory
PredictiveScienceLab/uq-course
Introduction to Uncertainty Quantification
hmi88/what
Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"
13274086/DeepSC
Pytorch implementation of the DeepSC
cure-lab/deep-active-learning
An implementation of the state-of-the-art Deep Active Learning algorithms
BlackHC/batchbald_redux
Reusable BatchBALD implementation
BlackHC/mnist_by_zip
Compression algorithms (like the well-known zip file compression) can be used for machine learning purposes, specifically for classifying hand-written digits (MNIST)
aztc/EtinyNet
ml-jku/uncertainty-measures
On Information-Theoretic Measures of Predictive Uncertainty
BlackHC/active-bayesian-coresets
BlackHC/uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
BlackHC/uncertainty-metrics
An easy-to-use interface for measuring uncertainty and robustness.