auto-regressive-model

buaacyw/MeshAnything

[ICLR 2025] From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"

FoundationVision/LlamaGen

Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation

FoundationVision/Infinity

[CVPR 2025 Oral]Infinity ∞ : Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

omerbsezer/Generative_Models_Tutorial_with_Demo

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..

FoundationVision/OmniTokenizer

[NeurIPS 2024]OmniTokenizer: one model and one weight for image-video joint tokenization.

SunzeY/X-Prompt

Official implementation of X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models

hp-l33/AiM

Official PyTorch Implementation of "Scalable Autoregressive Image Generation with Mamba"

pactools/pactools

Phase-amplitude coupling (PAC) toolbox

czg1225/CoDe

[CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient

miyosuda/heartrate-monitor

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

zhanghm1995/Awesome-VAR

A curated list of resources focused on Visual AutoRegressive Modeling, makes GPT-style AR models surpass diffusion transformers in image generation.

axiomlab/Cable

Context-aware Biases for Length Extrapolation

hogru/MolReactGen

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

jongwooko/NASH-Pruning-Official

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

sharmi1206/covid-19-analysis

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

bhattbhavesh91/auto-regressive-time-series-model

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

LlamaGenAI/LlamaGen

AI Comic Factory - Generate Comics with AI, 🦙 Llama for Scalable Anime Generation, Image Generation, Comic Generation and Game Generation

joewilaj/nbaGNNs

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

gprzy/PETR4.SA-forecasting

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

LlamaGenAI/llamagenai-openapi

LlamaGen.Ai REST API, LlamaGen is AI Comic Factory - Generate Comics with AI, 🦙 Llama for Scalable Anime Generation, Image Generation, Comic Generation and Game Generation

Pegah-Ardehkhani/Air-Passenger-Demand-Forecasting

Forecast airline passenger demand using time series models like AR, ARMA, and LSTM to improve operations, optimize scheduling, enhance resource allocation, and streamline supply chain management through accurate demand predictions

aakashkh/Time-Series-Analysis

Learned time series analysis from Quantstart

ais-lab/FaceAIS_REACT24

[FG 2024] Finite Scalar Quantization as Facial Tokenizer for Dyadic Reaction Generation

chutrunganh/Stock-Price-Prediction-Using-Time-Series

This repository focuses on predicting Apple Inc.'s stock prices using time series analysis from 2013 to 2018. The project involves data exploration, stationarity analysis, time series decomposition, model development, and generating insights to assist investors.

hidiryuzuguzel/Machine-Learning-Examples

SharathHebbar/ML-stack

Full Stack Machine Learning

SreeEswaran/Text-Summarization-using-BART

This project demonstrates text summarization using the BART (Bidirectional and Auto-Regressive Transformers) model. BART is a transformer model trained as a denoising autoencoder and is effective for text generation tasks such as summarization.

arkeodev/time-series

Time Series Analysis

Fangyh09/Autoregression.Pytorch

poojamalagund/time-series-forecasting

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.

Sama-Amr/Analysis-of-Population-Time-Series

The purpose of our analysis is to observe the population trend over the years in the US and forecast the population for the next 5 years.

SrinithiSaiprasath/ARIMA-SARIMA-Implementation

Auto Regressive Integrated Moving average & Seasonal Auto Regressive Integrated Moving Average

Azie88/Time-Series-Sales-Prediction-ARIMA

Time series forecasting for store sales with ARIMA

hazarathayya/Solar-Power-Gen

Predicting Hourly Power Generation in the Solar Plant

SINGHxTUSHAR/Assignment-82