hassanhajj910
Senior Data Scientist at the MPIWG working on the intersection of ML and the humanities.
Berlin
Pinned Repositories
cidoc2vec
docExtractor
(ICFHR 2020 oral) Code for "docExtractor: An off-the-shelf historical document element extraction" paper
GroundingDINO
The official implementation of "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
hassanhajj910.github.io
mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
practicalsparql
package to provide easy interface with sparql, built on top of sparqlwrapper
practicalsparql-feedstock
A conda-smithy repository for practicalsparql.
prompt-me-a-dataset
Use GroundDino and SAM to create init datasets with language prompt - an evaluation
researchspace
ResearchSpace Platform
scalabel
Scalabel: A versatile web-based visual data annotation tool
hassanhajj910's Repositories
hassanhajj910/cidoc2vec
hassanhajj910/prompt-me-a-dataset
Use GroundDino and SAM to create init datasets with language prompt - an evaluation
hassanhajj910/practicalsparql
package to provide easy interface with sparql, built on top of sparqlwrapper
hassanhajj910/docExtractor
(ICFHR 2020 oral) Code for "docExtractor: An off-the-shelf historical document element extraction" paper
hassanhajj910/GroundingDINO
The official implementation of "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
hassanhajj910/hassanhajj910.github.io
hassanhajj910/mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
hassanhajj910/practicalsparql-feedstock
A conda-smithy repository for practicalsparql.
hassanhajj910/researchspace
ResearchSpace Platform
hassanhajj910/scalabel
Scalabel: A versatile web-based visual data annotation tool
hassanhajj910/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
hassanhajj910/sparql-dataframe
Convert SPARQL results to a pandas dataframe
hassanhajj910/transcribify
hassanhajj910/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities