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Twitter-text

Appears in 4 awesome lists

This repo is a collection of libraries and conformance tests to standardize parsing of tweet text. It synchronizes development, testing, creating issues, and pull requests for twitter-text's implementations and specification. License: Apache 2.

Open github.comtwitter/twitter-text

Found in these lists

Awesome Machine Learning

Section: Java · A Java implementation of Twitter's text processing library.

FreshScore 93

awesome-nlp

Section: Libraries · A JavaScript implementation of Twitter's text processing library

FreshScore 90

Useful Java links

Section: 8. Machine Learning · This repo is a collection of libraries and conformance tests to standardize parsing of tweet text. It synchronizes development, testing, creating issues, and pull requests for twitter-text's implementations and specification. License: Apache 2.

ActiveScore 74

Awesome Ios

Section: Text · An Objective-C implementation of Twitter's text processing library.

FreshScore 90

transformers

(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…

In 14 listsDetails

Haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…

In 13 listsDetails

Awesome NLP with Ruby

A curated list of resources dedicated to Natural Language Processing and text processing for Ruby.

In 5 listsDetails

Apache Spark

Unified analytics engine for large-scale data processing. In-memory cluster computing with high-level APIs in Python, Scala, Java, and R. Powers MLlib for distributed machine learning and Structured Streaming for real-time data. Apache 2.0 licensed.

In 8 listsDetails

spaCy

Industrial-strength natural language processing with 75+ languages, transformer pipelines, and production-grade NER, parsing, and text classification.

In 7 listsDetails

Apache Flink

Stream processing framework with powerful batch and streaming capabilities. High-throughput, low-latency runtime with exactly-once processing guarantees. Ideal for real-time AI inference pipelines and event-driven ML applications. Apache 2.0 licensed.

In 7 listsDetails

tokenizers

Hugging Face's tokenizers for modern NLP pipelines (original implementation) with bindings for Python.

In 6 listsDetails

H2O

Fast scalable Machine Learning platform for smarter applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc..

In 6 listsDetails