[TKDE2025] Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL | A curated list of resources (surveys, papers, benchmarks, and opensource projects) on large language model-based text-to-SQL.

A minecraft mod which aims to add a "second player" into the game which will actually be intelligent.

An open-source conversational language model developed by the Knowledge Works Research Laboratory at Fudan University.

Code for paper A simple approach to case-based reasoning in knowledge bases

[WACV 2024] TriCoLo: Trimodal Contrastive Loss for Text to Shape Retrieval

Comprehensive, community-curated directory of autonomous AI agents, frameworks, platforms, and automation tools for developers and enterprises. Explore the latest in multi-agent collaboration, coding automation, workflow orchestration, and domain-specific AI assistants.

[CCS'24] Official Implementation of "Fisher Information guided Purification against Backdoor Attacks"

J.A.R.V.I.S is a very advanced virtual assistant who can automate almost all tasks of everything of PC & IoT. Just Say It.

"Welcome to my NLP mini-projects repository! Here, I'll share a collection of projects that explore various natural language processing (NLP) techniques and tools. From sentiment analysis to text classification, each project is designed to help you gain a better understanding of NLP and its applications. Whether you're new to NLP or an experienced

Automatic Extractive Text Summarization using TF-IDF Frequency Analysis. This is a Node.js web application using Express.js on the server side.

This project is a simple deep learning-based chatbot that uses a three-layer neural network to predict the intent of user inputs. The model architecture consists of the following layers:

CSCI-SHU 376 Natural Language Processing | Spring 2021 | Final Project

Vision-Controllable Language Model for Image-guided Story Ending Generation

This repository contains the programs that I worked out in Natural Language Processing lab

Sentiment Analysis of Solar Energy Using Bidirectional Encoder Representations from Transformers

A web application used to determine fake news articles utilizing Machine Learning and Natural Language Processing.

Machine and deep learning models to predict real or fake news.

📚 DSCI 550 Project: Analysis of Cyber Phishing Emails

This is a refined and re-implemented version of the archived plugin for ElasticSearch elasticsearch-langdetect, which itself builds upon the original work by Nakatani Shuyo, found at https://github.com/shuyo/language-detection. The aforementioned implementation by Nakatani Shuyo serves as the default language detection component within Apache Solr.

The aim of this work is to solve Audio Intent Detection Problem using off the shelf libraries

A tool for Raw Text processing and deciphering the Sentiment as positive or negative based on training ML (Machine Learning) models on a dataset of reviews. The Bag Of Words model is coupled with the NLP (Natural Language Processing) method for text preprocessing, tokenisation and vectorisation to predict the sentiment as positive or negative for a certain review.

This repository contains the code for the INTERSPEECH2025 paper: "Speech and Text Foundation Models for Depression Detection: Cross-Task and Cross-Language Evaluation"

🐤A simple tweet classifyer with deep learning. That find diferences between two tweets using deep learning.🤖🧠

Study Guide for AI-900 Microsoft certification. Check the official Microsoft documentation for official materials.

📝 Explore a rich collection of research and projects on LLM-based text-to-SQL to enhance your understanding of next-generation database interfaces.

Tutorials & Projects from Subject COMP90042 Natural Language Processing in the University of Melbourne

Mini projects done for the EEE443 Neural Networks course. Includes from scratch implementations (using Numpy) of LSTM, GRU, simple RNN, a MLP structure with SGD + Momentum and more.

This assignment involved the implementation of a pre-trained DistilBERT model, a BERT based language model, to predict the sentiment of a given movie review.

This is project for sequence to sequence NLP task. We developed a custom model to understand the process of task using PyTorch. We also fine tuned pre-trained transformer models to improve the performance of translation task.

This Python script tracks your workouts by leveraging natural language API processing to extract information about the exercises you did. It uses the Nutritionix API to obtain exercise data based on your input, and sends the workout information to a Google Sheets document using the Sheety API.