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.
Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agraw...
🕵️♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effectiv...
Multi-modality pre-training
Introductory examples for building LLM-based AI agents. 异步图书:《大模型应用开发 动手做AI Agent》 - 这是一些非常简单的入门示例,重在引导新手入门,目...
Computing similarity of two sentences with google's BERT algorithm。利用Bert计算句子相似度。语义相似度计算。文本相似度计算。
🍳 Recipes for the Prodigy, our fully scriptable annotation tool
A roadmap for getting started with Machine Learning
KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)
Word Embeddings in Go!
Monthly Series - Top 10 Machine Learning Articles
A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.
An open collection of implementation tips, tricks and resources for training large language models
BETO - Spanish version of the BERT model
an Open Course Platform for Stanford CS224n (2020 Winter)
Giant Language Model Test Room
Live Training for Open-source Big Models
A comprehensive Data and Text Mining workflow for submissions and comments from any given public subreddit.
Spelling corrector in python
Python port of Moses tokenizer, truecaser and normalizer
Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction
A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/...
Generating multiple choice questions from text using Machine Learning.
🤗 Pretrained BERT model & WordPiece tokenizer trained on Korean Comments 한국어 댓글로 프리트레이닝한 BERT 모델과 데이터셋
Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
Implementation of State-of-the-art Text Classification Models in Pytorch
Latency and Memory Analysis of Transformer Models for Training and Inference
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.
自然语言处理(NLP)教程,包括:词向量,词法分析,预训练语言模型,文本分类,文本语义匹配,信息抽取,翻译,对话。
Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.
RSS feed aggregator with collections and NLP article summarization
Contrastive Language-Image Forensic Search allows free text searching through videos using OpenAI's machine learning model CLIP
Toolkit to help understand "what lies" in word embeddings. Also benchmarking!
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...
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
A modern IDE for writing classical Chinese poetry 格律诗编辑程序
快速中文分词分析word segmentation
SpanMarker for Named Entity Recognition
[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation
This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.
Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.
PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common...
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes...
Eden AI: simplify the use and deployment of AI technologies by providing a unique API that connects to the best possible AI engines
A very simple news crawler with a funny name
KSS: Korean String processing Suite
北京航空航天大学大数据高精尖中心自然语言处理研究团队对信息抽取领域的调研。包括实体识别,关系抽取,属性抽取等子任务,每类子任务分别对学术界和工业界进行...
⚡️ A community driven PHP client for DeepSeek AI, designed to bring clean API access, fluent developer experience, and framework-friendly integration...