Pinned Repositories
best-practices
Random best practice from internet belong here.
flask-uwsgi
Tutorial for setting up Flask with uWSGI + Nginx
JPersianStemmer
Persian stemmer
Map-Coloring-By-CSP
Graph coloring by CSP (CONSTRAINT SATISFACTION PROBLEMS) algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach" - Chapter 5.
PersianStemmer
A New Rule-Based Persian Stemmer Using Regular Expression
PersianStemmer-CSharp
C# port of Persian Stemmer
PersianStemmer-Python
PersianStemmer-Python
PersianStemmingDataset
Persian Stemming data-set in order to evaluate new stemmers
Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
TweetDeck-Multi-Select-Accounts
A TweetDeck extension to multi-select accounts (in order to tweet by multiple account)
htaghizadeh's Repositories
htaghizadeh/PersianStemmer-Python
PersianStemmer-Python
htaghizadeh/Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
htaghizadeh/active-qa
htaghizadeh/algoliasearch-client-python
Algolia Search API Client for Python
htaghizadeh/AmpliGraph
Python library for Representation Learning on Knowledge Graphs
htaghizadeh/anserini-solr-plugin
Solr Plugin that supports Anserini style query expansion and reranking against Solr indexes
htaghizadeh/awesome-scalability
The Patterns Behind Scalable, Reliable, and Performant Large-Scale Systems
htaghizadeh/contextualbandits
Python implementations of contextual bandits algorithms
htaghizadeh/cookiecutter-elasticsearch-ingest-processor
A cookiecutter template for an elasticsearch ingest processor plugin
htaghizadeh/elasticsearch-position-similarity
Elasticsearch term position similarity plugin
htaghizadeh/ElasticsearchDSL
Query DSL library for Elasticsearch
htaghizadeh/extremeText
Library for fast text representation and extreme classification.
htaghizadeh/fastapi-layered-architecture
FastAPI Layered Architecture
htaghizadeh/InferSent
Sentence embeddings (InferSent) and training code for NLI.
htaghizadeh/LASER
Language-Agnostic SEntence Representations
htaghizadeh/LaTeX-Workshop
Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.
htaghizadeh/ltr-demo
A simple LTR Demo
htaghizadeh/ndaidong.github.io
Static site generator to build webpage in "About.me" style
htaghizadeh/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
htaghizadeh/querqy
Query preprocessor for Java-based search engines
htaghizadeh/rated-ranking-evaluator
Search Quality Evaluation Tool for Apache Solr & Elasticsearch search-based infrastructures
htaghizadeh/Real-time-Data-Warehouse
Real-time Data Warehouse with Apache Flink & Apache Kafka & Apache Hudi
htaghizadeh/search-engine-optimization
:mag: A helpful checklist / collection of Search Engine Optimization (SEO) tips and techniques.
htaghizadeh/sir
Transfer data from a MusicBrainz database to a Solr server
htaghizadeh/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%.
htaghizadeh/solr-ocrhighlighting
Highlighting various OCR formats directly in Solr
htaghizadeh/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
htaghizadeh/Tech-Standards
htaghizadeh/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
htaghizadeh/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