#Nlp-machine-learning
Showing 60 of 113 repositories tagged #nlp-machine-learning, ranked by stars
An open source library for deep learning end-to-end dialog systems and chatbots.
An Open-Source Framework for Prompt-Learning.
๐100+ ๅๅ LLM / RL ๅ็ๅพ๐๏ผใๅคงๆจกๅ็ฎๆณใไฝ่ ๅทจ็ฎ๏ผ๐ฅ๏ผ100+ LLM/RL Algorithm Maps ๏ผ
Datasets, tools, and benchmarks for representation learning of code.
Text Classification Algorithms: A Survey
The most accurate natural language detection library for Go, suitable for short text and mixed-language text
Welcome to the Data Science EBooks repository! This collection offers a variety of high-quality ebooks on Data Science, Machine Learning, and AI. Perfect for both beginners and advanced learners, explore these resources to deepen your knowledge and skills.
skweak: A software toolkit for weak supervision applied to NLP tasks
We introduced a new model designed for the Code generation task. Its test accuracy on the HumanEval base dataset surpasses that of GPT-4 Turbo (April 2024) and GPT-4o.
Grounded search engine (i.e. with source reference) based on LLM / ChatGPT / OpenAI API. It supports web search, file content search etc.
Resources for learning about Text Mining and Natural Language Processing
ๅๅนดICLR่ฎบๆๅๅผๆบ้กน็ฎๅ้๏ผๅ ๅซICLR2021ใICLR2022ใICLR2023ใICLR2024ใICLR2025.
The hands-on NLTK tutorial for NLP in Python
This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.
๐ AppWorld: A Controllable World of Apps and People for Benchmarking Function Calling and Interactive Coding Agent, ACL'24 Best Resource Paper.
A curated list of awesome machine learning frameworks, libraries, courses, books and many more.
Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
It is a medical chatbot that will provide quick answers to FAQs by setting up rule-based keyword chatbots.
Hierarchical Attention Networks for document classification
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
๐ง Melusine: Use python to automatize your email processing workflow
The fastest way to build and start training your own LLM. CLI tool that scaffolds production-ready PyTorch training projects in seconds. Like create-next-app but for language models.
Named Entity Recognition
Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition
Reuters and Bloomberg
Labelling platform for text using weak supervision.
This repository consists content, assignments, assignments solution and study material provided by ineoron ML masters course
A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.
pretrained BERT model for cyber security text, learned CyberSecurity Knowledge
Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
Code for Java Deep Learning Cookbook
Collection of free Notes,Courses,Videos,Projects,Articles and Repos Links To learn Machine learning ,Deep learning,Python,SQL,CNN,NLP,GAN,GNN,Transfomers,Flask,Django,and End to End Machine learning Projects
Test your HN title against a neural network
100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building
A bunch of some 200 datasets. You can call it mini-kaggle :)
Lazy, AI chatbot service.
Confidence and Byt5 - based geotagging model predicting coordinates from text alone.
Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers
Generating paper titles (and more!) with GPT trained on data scraped from arXiv.
Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
Code and documentation for running generative LLMs like ChatGPT or GPT4 in google sheets without any coding knowledge. Transform unstructured text to structured data.
:robot: Natural language processing with JavaScript
BertQA - Attention on Steroids
simplifies the process of creating and managing LLM workflows.
Awesome list (courses, books, videos etc.) and implementation of Machine Learning Algorithms
Iron man inspired Personal virtual assistant
UCB CS 288. Natural Language Processing
This is a smart Quiz Generator that generates a dynamic quiz from any uploaded text/PDF document using NLP. This can be used for self-analysis, question paper generation, and evaluation, thus reducing human effort.
A repository of useful research/skill-upgrading talks or acticles in NLP/CV/AI Area (in Chinese).
Russian mass media stemmed texts corpus / ะะพัะฟัั ะปะตะผะผะฐัะธะทะธัะพะฒะฐะฝะฝัั (ะผะพััะพะปะพะณะธัะตัะบะธ ะฝะพัะผะฐะปะธะทะพะฒะฐะฝะฝัั ) ัะตะบััะพะฒ ัะพััะธะนัะบะธั ะกะะ
Codebase for my book "Python DeepLearning Projects" | Learn applied deep learning for various use-cases on NLP, CV and ASR using TensorFlow and Keras. Book link.
Biterm Topic Model (BTM): modeling topics in short texts
NLP model and tech for cyber security tasks
25,100 queries from the Paralex corpus (Fader et al., 2013) annotated with human ratings of whether they are well-formed natural language questions.
VerifAI initiative to build open-source easy-to-deploy generative question-answering engine that can reference and verify answers for correctness (using posteriori model)
A Python library to conjugate verbs in French, English, Spanish, Italian, Portuguese and Romanian (more soon) using Machine Learning techniques.
Extracting Attack Behavior from Threat Reports
Customer support chatbot based on seq2seq model.
AI-powered desktop chatbot designed to provide fast, context-aware responses by combining machine learning with real-time web services built with Natural Language Processing and delivers weather, news, stock prices, Wikipedia search and conversational assistance through an intuitive graphical user interface.