This repository houses the datasets/resources used in paper "ChatGPT Informed Graph Neural Network for Stock Movement Prediction". Dive in to find the datasets, code samples, and more!

Code for AAAI'24 paper "Graph Neural Prompting with Large Language Models".

A collection of AWESOME things about Graph-Related LLMs.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

This is one of Petrobras' open repositories on GitHub. It contains the WPRAutoencoders project which encompasses a wellbore pressure response generator, a dataset of 20.000 synthetic pressure respo…

Spanish word embeddings computed with different methods and from different corpora

Understanding Deep Learning - Simon J.D. Prince

Repo for the Belebele dataset, a massively multilingual reading comprehension dataset.

Label Studio is a multi-type data labeling and annotation tool with standardized output format

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Library for fast text representation and classification.

Interpretable data visualizations for understanding how texts differ at the word level

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social …

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

Example notebooks that show how to apply quantum computing with Amazon Braket.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Active Learning for Text Classification in Python

A collection of awesome readme templates to display on your profile

Machine Learning Open Source University

A collection of tools for processing graphs based on SNAP lib.

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Visually explore, understand, and present your data.

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

Code for 'Relational Deep Learning: A Deep Latent Variable Model for Link Prediction' - AAAI

A scikit-learn based module for multi-label et. al. classification

Simple Reinforcement learning example, based on the Q-function.

Reinforcement learning algorithms applied to the Pacman game

List of Data Science Cheatsheets to rule the world

This is the repository for the paper "ANEW for Spanish Twitter Sentiment Analysis using Instance-Based Multi-Label Learning Algorithms"