Hossein Taghi-Zadeh's repositories
PersianStemmer-Python
PersianStemmer-Python
Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
algoliasearch-client-python
Algolia Search API Client for Python
AmpliGraph
Python library for Representation Learning on Knowledge Graphs
anserini-solr-plugin
Solr Plugin that supports Anserini style query expansion and reranking against Solr indexes
awesome-scalability
The Patterns Behind Scalable, Reliable, and Performant Large-Scale Systems
contextualbandits
Python implementations of contextual bandits algorithms
cookiecutter-elasticsearch-ingest-processor
A cookiecutter template for an elasticsearch ingest processor plugin
django-elastic-migrations
Migrate and Update Elasticsearch Indexes in Django
elasticsearch-position-similarity
Elasticsearch term position similarity plugin
ElasticsearchDSL
Query DSL library for Elasticsearch
extremeText
Library for fast text representation and extreme classification.
fastapi-layered-architecture
FastAPI Layered Architecture
LaTeX-Workshop
Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.
ndaidong.github.io
Static site generator to build webpage in "About.me" style
nlp-architect
NLP Architect by Intel AI Lab: A Python library for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding
rated-ranking-evaluator
Search Quality Evaluation Tool for Apache Solr & Elasticsearch search-based infrastructures
Real-time-Data-Warehouse
Real-time Data Warehouse with Apache Flink & Apache Kafka & Apache Hudi
search-engine-optimization
:mag: A helpful checklist / collection of Search Engine Optimization (SEO) tips and techniques.
solr-bmax-queryparser
A boosting dismax query parser for Apache Solr. The bmax query parser relies on field types and tokenizer chains to parse the user query, discover synonyms, boost and penalize terms at query time. Hence it is highly configurable. The lucene query composed is a boosted and reranked dismax query with a minimum must match of 100%.
solr-ocrhighlighting
Highlighting various OCR formats directly in Solr
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
VectorsInSearch
Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015