Sajjad-Mahmoudi
Interested in using technology to improve the healthcare sector, particularly AI applications
Esperity & Patient CentricsBrussels, Belgium
Sajjad-Mahmoudi's Stars
EveripediaNetwork/fastc
Unattended Lightweight Text Classifiers with LLM Embeddings
realpython/python-guide
Python best practices guidebook, written for humans.
google/python-fire
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
UKPLab/sentence-transformers
State-of-the-Art Text Embeddings
confident-ai/deepeval
The LLM Evaluation Framework
ncbi-nlp/BioSentVec
BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
psf/requests
A simple, yet elegant, HTTP library.
clinicalml/embeddings
Code for AMIA CRI 2016 paper "Learning Low-Dimensional Representations of Medical Concepts"
piskvorky/gensim
Topic Modelling for Humans
dreji18/Bio-Epidemiology-NER
Recognize bio-medical entities from a text corpus
flairNLP/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
bigscience-workshop/biomedical
Tools for curating biomedical training data for large-scale language modeling
AstraZeneca/KAZU
Fast, world class biomedical NER
frankkramer-lab/miseval
a metric library for Medical Image Segmentation EVALuation
yingkaisha/keras-unet-collection
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
warmspringwinds/tf-image-segmentation
Image Segmentation framework based on Tensorflow and TF-Slim library
bnsreenu/python_for_image_processing_APEER
https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG
bnsreenu/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
TencentARC/GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.