The official implementation of our paper "CoRe^2: Collect, Reflect and Refine to Generate Better and Faster".

Sequence-to-Sequence Generative Model for Sequential Recommender System

This repository contains Python functions for predicting time series.

Conditional Latent Autoregressive Recurrent Model (CLARM) for learning spatiotemporal dynamics

Teaching material for "Introduction to temporal neural data analysis"

Blood pressure estimation using AR model

This repository implements PixelCNN, an autoregressive model for image generation. It generates images pixel by pixel using masked convolutions to maintain directional dependencies. During inference, the model sequentially generates an image by sampling each pixel based on its predicted distribution.

Interactive S&P 500 stock price prediction app using machine learning and Streamlit. Visualise trends, forecast prices, and explore data insights.

Time Series Analysis using an autoregressive model to predict the temperature for Svalbard, Norway based on ECAD datasets

System in C++ for weather data management with interface with language Python. The python part is responsable to do predicitions of the weather of the next day.

Solving the Knight's Tour puzzle using an Autoregressive Transformer

Implementation of a Denoising Diffusion Probabilistic Model with some mathematical background.