#Natural-language-understanding
Showing 48 of 48 repositories tagged #natural-language-understanding, ranked by stars
TensorFlow code and pre-trained models for BERT
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Natural Language Processing Best Practices & Examples
An Open-Source Framework for Prompt-Learning.
🤗 AutoTrain Advanced
NLP made easy
Multi-Task Deep Neural Networks for Natural Language Understanding
SLING - A natural language frame semantics parser
LLM(😽)
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
基于自然语言理解与机器学习的聊天机器人，支持多用户并发及自定义多轮对话
A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
A foundational library for Semantic Hypergraphs
An open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.
A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.
Live Training for Open-source Big Models
Code for "Learning to Model the World with Language." ICML 2024 Oral.
API of Articut 中文斷詞 (兼具語意詞性標記)：「斷詞」又稱「分詞」，是中文資訊處理的基礎。Articut 不用機器學習，不需資料模型，只用現代白話中文語法規則，即能達到 SIGHAN 2005 F1-measure 94% 以上，Recall 96% 以上的成績。
Sequence to sequence learning using TensorFlow.
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
Named Entity Recognition
This repository introduces MentaLLaMA, the first open-source instruction following large language model for interpretable mental health analysis.
A list of contrastive Learning papers
Agentic AI platform that harnesses Visual LLM Chaining to build proactive digital assistants
A curated list of research papers in Vision-Language Navigation (VLN)
Neuro-symbolic interpretation learning (mostly just language-learning, for now)
🎁[ChatGPT4NLU] A Comparative Study on ChatGPT and Fine-tuned BERT
SLING - A natural language frame semantics parser
Interpret text data with LLMs (sklearn compatible).
Python tutorials as Jupyter Notebooks for NLP, ML, AI
Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper
Learn Generative AI with PyTorch (Manning Publications, 2024)
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
SunnahGPT is a natural language processing (NLP) project aimed at scraping hadith data from the popular website sunnah.com and applying OpenAI's GPT-3.5 model to generate textual embeddings for each hadith
classy is a simple-to-use library for building high-performance Machine Learning models in NLP.
Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries, ECCV 2018
A curated list of natural language processing courses, video lectures, books, library and many more.
Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2
基于OPENAI辅助UE开发，接入openai-api，使用DALL.E自动生成模型，Chat-GPT自动设计蓝图.
A Causal Relation Schema for Text
Ragbot.AI is an augmented brain assistant developed by Rajiv Pant
An overview of the possibilities offered by artificial intelligence (AI) to serve as a technical basis for a digital product offering: from understanding, personalization, design of machine learning models and its deployment through an API built with FastAPI into the Cloud
Categorize credit card transactions using a local large language model similar to GPT3