[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Phase-amplitude coupling (PAC) toolbox

Heart rate variability (HRV) analysis tool to detect autonomic nerve state

Covid-19 India's statewide analysis with census data 2011 and Kaggle data

Implementing Time Series Auto Regressive Model (AR Model) from Scratch in Python

Auto-regressive causal language model for molecule (SMILES) and reaction template (SMARTS) generation based on the Hugging Face implementation of OpenAI's GPT-2 transformer decoder model

About Code for the paper "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP 2023 Findings)

Graph neural network models to perform link prediction on the nba and ncaa point differential graph on seasons 2013-2019, 2021.

📈 Application of neural networks in the prediction of PETR4.SA shares, compared with statistical models

Learned time series analysis from Quantstart

Forecast the Airline Flight Demand Using ARIMA and AR

Full Stack Machine Learning

Predicting the monthly electricity consumption for 3248 households in the coming year (January to December), provided with historical half-hourly energy readings for the 3248 smart meters.

Time Series Analysis

HMM for the output of HMM Autogressive