Popular GitHub Repositories for Mt Syntax

Brings SQL and AI together.

[GenAI Application Development Framework] ? Build GenAI application quick and easy ? Easy to interact with GenAI agent in code using structure data and chained-calls syntax ? Use Agently Workflow to manage complex GenAI working logic ? Switch to any model without rewrite application code

Solves basic Russian NLP tasks, API for lower level Natasha projects

Streaming highlighting with Shiki. Useful for highlighting text streams like LLM outputs.

Crosslingual Generalization through Multitask Finetuning

Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.

The AutoGPT MetaTrader Plugin is a software tool that enables traders to connect their MetaTrader 4 or 5 trading account to Auto-GPT.

An open-source tool for sequence learning in NLP built on TensorFlow.

Neural Adaptive Machine Translation that adapts to context and learns from corrections.

PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an implementation of kNN-LM and kNN-MT

Multi-language Analyze text in 26 Cantonal Swiss German, Italian, German, Chinese (simplified), French, Italian. pply natural language understanding (NLU) to their applications with features including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis.

Deep Learning based NLP modeling for Russian language

A single model that parses Universal Dependencies across 75 languages. Given a sentence, jointly predicts part-of-speech tags, morphology tags, lemmas, and dependency trees.

?? EA31337 framework (MQL library for writing trading Expert Advisors, indicators and scripts)

SyntaSpeech: Syntax-aware Generative Adversarial Text-to-Speech; IJCAI 2022; Official code

Up to 45x faster ? Auto generate type-safe validation code for structs based on markers.

A comprehensive suite of high-level NLP tasks for Persian language

EMNLP 2023 Papers: Explore cutting-edge research from EMNLP 2023, the premier conference for advancing empirical methods in natural language processing. Stay updated on the latest in machine learning, deep learning, and natural language processing with code included. :star: support NLP!

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

IndoLEM is a comprehensive Indonesian NLU benchmark, comprising three pillars NLP task: morpho-syntax, semantic, and discourse. Presented in COLING 2020.