Please feel free to create pull requests, or email Iddo Berger (iddoberger@gmail.com) to add links.
https://data.gov.il/dataset/corpus - Morphologically tagged corpus
https://github.com/NLPH/NLPH - An initiative meant to bring Natural Language Processing capabilities in Hebrew to a level on par with international industry standards, keeping up with state-of-the-art techniques by providing open source implementations to new algorithms and tools, and making these capabilities publicly available for both public and commercial use.
https://github.com/omilab/Neural-Sentiment-Analyzer-for-Modern-Hebrew - Neural Sentiment Analyzer for Modern Hebrew
http://www.mila.cs.technion.ac.il/ - MILA - Technion's Knowledge Center for Processing Hebrew
https://hlp.nite.org.il/Default.aspx - Hebrew Language Project by the Israeli National Institute for Testing and Evaluation - Morphology dictionary, tagged corpora, language models, tokenizers and more (site in Hebrew)
https://github.com/habeanf/yap - Hebrew parser (Go)
https://github.com/synhershko/HebMorph - Hebrew stemmer (Java)
https://www.cs.bgu.ac.il/~yoavg/software/hebtokenizer/ - Hebrew tokenizer (Python). [Note from author: quite simplistic, but works.]
https://www.cs.bgu.ac.il/~nlpproj/ - Natural Language Processing Project - Ben-Gurion University
https://www.cs.bgu.ac.il/~yoavg/software/hebparsers/hebdepparser/ - Hebrew Dependency Parser (bundles a Hebrew pos-tagger and morphological segmenter as well). Parser is in Python+Cython, tagger in Java + Python-wrapper. [Note from parser's author: I am not maintaining the parser. For a newer, better supported dep parser, use YAP.]
https://www.cs.bgu.ac.il/~yoavg/software/hebparsers/hebconstparser/ - Hebrew Constituency Parser.
http://www.cs.technion.ac.il/~barhaim/MorphTagger/ - HMM based a part-of-speech tagger and word segmenter for Hebrew (Perl)
https://github.com/UniversalDependencies/UD_Hebrew - Hebrew Dependency Treebank
https://github.com/facebookresearch/fastText/blob/master/docs/pretrained-vectors.md - Pre-trained Hebrew word embeddings using Facebook's fastText
https://github.com/avichaychriqui/HeBERT - HeBERT: Pre-trained BERT for Polarity Analysis and Emotion Recognition
https://github.com/OnlpLab/AlephBERT/ - AlephBERT: a Pre-trained Language Model to Start Off your Hebrew NLP Application
To the extent possible under law, Iddo Berger has waived all copyright and related or neighboring rights to this work.