Name: Liran Ben-Zion
Type: User
Company: @datascienceisrael
Bio: Data scientist researcher and Natural Language Processing algorithm developer, with hands on experience in developing NLP systems applications.
Location: Tel Aviv, Israel
Blog: https://www.linkedin.com/in/liran-ben-zion-695a16102/
Liran Ben-Zion's Projects
Machine Translation from Hebrew to English
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
NLP Classification Workshop
Jupyter Notebooks with Deep Learning Tutorials
Fuzzy string matching, grouping, and evaluation.
Multilingual text (NLP) processing toolkit
DEPRECATED and not maintained - see official repo at https://github.com/pytorch/tutorials
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Fully batched seq2seq example based on practical-pytorch, and more extra features.
Machine Learning task for RTB prediction
PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment
Sentence Embeddings with BERT & XLNet
Sentiment Analysis of Twitter Data Using Logistic Regression
Some of my side projects- Just for fun :)
Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
This repository is for everyone who is preparing for Data Scientist/Data Analyst position interviews. It includes frequently asked SQL coding questions with answers.
Makes .SRT files from Excel or csv files
deep learning tool for transfer learning with BERT
This script include full implemetation of TF-IDF algorithem. I show how to use it for hebrew text and corpus
TRAINS - Auto-Magical Experiment Manager & Version Control for AI - NOW WITH AUTO-MAGICAL DEVOPS!
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Repository for the transformer workshop
Trax — Deep Learning with Clear Code and Speed
An implementation of the Wav2Letter Speech-to-Text model using PyTorch.