natural-language-processing
Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
Repositories (1443)
Julia Implementation of Transformer models
This repository contains a collection of papers and resources on Reasoning in Large Language Models.
A comprehensive list of Python projects
[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
Natural-language event parser for Javascript
:notebook: Notes and summaries of various ML, Computer Vision & NLP papers.
Companion code for the book "Mastering Social Media Mining with Python"
[ICLR 2024] Lemur: Open Foundation Models for Language Agents
A curated list of awesome projects and dev/design resources for supporting Arabic computational needs.
Examples of Data Science projects and Artificial Intelligence use-cases
Machine Learning notebooks for refreshing concepts.
CS224n Reading Notes in Chinese 中文阅读笔记
PySwip is a Python-Prolog interface that enables querying SWI-Prolog in your Python programs.
Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
Comprehensive Deep Learning Tutorial : From Zero To Hero
CLIPort: What and Where Pathways for Robotic Manipulation
Awesome papers on Language-Model-as-a-Service (LMaaS)
Complete solutions for Stanford CS224n, winter, 2019
:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
Mengzi Pretrained Models
Code associated with the Don't Stop Pretraining ACL 2020 paper
Named Entity Recognition using multilayered bidirectional LSTM
The only open-source toolkit that can download SEC EDGAR financial reports and extract textual data from specific item sections into nice & clean stru...
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks...
NLP 领域常见任务的实现，包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。
Medical Concept Annotation Tool
A Model for Natural Language Attack on Text Classification and Inference
Curated list of open-access/open-source/off-the-shelf resources and tools developed with a particular focus on German
This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation k...
Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/
A dead-simple API to build LLM-powered apps
🔍 Search Engine for a Procedural Simulation of the Web with GPT-3.
My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.micros...
A tool to query a database in natural language
Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget (ACL 2024)
🍳 Recipes for the Prodigy, our fully scriptable annotation tool
KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)
A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.
Facilitating the design, comparison and sharing of deep text matching models.
Live Training for Open-source Big Models
The official repository of the dots.llm1 base and instruct models proposed by rednote-hilab.
Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung...
A curated list of recent models of text generation and application
[EMNLP 2025] OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
:grey_question: Visual Question Answering in Torch
🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs".
Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning
MindSpore online courses: Step into LLM
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extract...