mariyahendriksen Goto Github PK

academic-kickstart

artificial-neural-networks

scripts for the course "Artificial Neural Networks" at KU Leuven

artificio

Deep Learning Computer Vision Algorithms for Real-World Use

atomic

An Image/Text Retrieval Test Collection to Support Multimedia Content Creation

attention-dialog-embedding

Attention based dialog embedding for dialog breakdown detection (in DSTC6 task 3)

awesome-clip

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

awesome-fashion-ai

A repository to curate and summarise research papers related to fashion and e-commerce

awesome-intent-analysis

Reading list for research topics in intent analysis.

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-text-to-image

(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.

bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

cross-modal

cv-resume

data_science_tutorials

dbd

dl_assignments_2019

ds_interview

easytransfer

EasyTransfer is designed to make the development of transfer learning in NLP applications easier.

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.

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.

entity-embedding-rossmann

freecodecamp

The https://freeCodeCamp.org open source codebase and curriculum. Learn to code for free together with millions of people.

git_for_researchers_tips_and_tricks

The repository contains some pieces of code that I found useful when it comes writing a scientific paper or experiments

glove-to-word2vec

Converting GloVe vectors into word2vec format for easy usage with Gensim

gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

image_similarity

PyTorch Blog Post On Image Similarity Search

improving-semantic-topic-clustering-for-search-queries-with-word-co-occurrence

Uncovering common themes from a large number of unor- ganized search queries is a primary step to mine insights about aggregated user interests. Common topic model- ing techniques for document modeling often face sparsity problems with search query data as these are much shorter than documents. We present two novel techniques that can discover semantically meaningful topics in search queries: i) word co-occurrence clustering generates topics from words frequently occurring together; ii) weighted bigraph cluster- ing uses URLs from Google search results to induce query similarity and generate topics. We exemplify our proposed methods on a set of Lipton brand as well as make-up & cos- metics queries. A comparison to standard LDA clustering demonstrates the usefulness and improved performance of the two proposed methods. keywords: search queries, topic clustering, word co- occurrence, bipartite graph, co-clustering.

kaleido-bert

(CVPR2021) Kaleido-BERT: Vision-Language Pre-training on Fashion Domain

keras

Deep Learning for humans

learning-object-oriented-python

This repository walks you through the Object Oriented Programming in python. Illustrates real world examples, working codes and going about finding a coding solution.