mariyahendriksen

lsr-multimodal

ECIR 2024: Sparse lexical representation for image-text retrieval

awesome-contrastive-self-supervised-learning

A comprehensive list of awesome contrastive self-supervised learning papers.

RankingShap

svl-framework

This repository contains the code for the ArXiv preprint Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning

awesome-vision-and-language

A curated list of awesome vision and language resources (still under construction... stay tuned!)

FactorCL

[NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy

diffir

Tool for comparing two ranked lists (TREC run files)

learned-sparse-retrieval

Unified Learned Sparse Retrieval Framework

lsr-long

SIGIR 2023: Adapting Learned Sparse Retrieval to Long Documents

torch-mist

Implementation of a PyTorch Mutual Information Estimation Toolkit

OutfitComposition

Outfit completion using Siamese networks with uni- and multimodal input and the CLIP model in a zero-shot setting.

awesome-intent-analysis

Reading list for research topics in intent analysis.

ecir2022_category_to_image_retrieval

This repository contains the code for the paper "Extending CLIP for Category-to-image Retrieval in E-commerce" published at ECIR 2022.

Awesome-CLIP

Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

ecir23-object-centric-vs-scene-centric-CMR

This repository contains the code for the paper "Object-centric vs. Scene-centric Image-Text Cross-modal Retrieval: A Reproducibility Study" published at ECIR 2023.

OutfitComposition

Outfit completion using Siamese networks with uni- and multimodal input and the CLIP model in a zero-shot setting.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-ai-residency

List of AI Residency Programs

SmoothGradCAMplusplus

The re-implementation of Smooth Grad-CAM++ with pytorch

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

uvadlc_notebooks

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

TERAN

Code and Resources for the Transformer Encoder Reasoning and Alignment Network (TERAN), accepted for publication in ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)

MachineLearning_ResourcesCompilation

Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

transformers

A collection of resources to study Transformers in depth.

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

python-is-cool

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.