FoundationVision/LlamaGen

Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation

Language: Python - Size: 5.35 MB - Last synced at: 5 days ago - Pushed at: 10 months ago - Stars: 1,774 - Forks: 78

pactools/pactools

Phase-amplitude coupling (PAC) toolbox

Language: Python - Size: 480 KB - Last synced at: 19 days ago - Pushed at: about 4 years ago - Stars: 97 - Forks: 38

FoundationVision/VAR

[NeurIPS 2024 Best Paper][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!

Language: Jupyter Notebook - Size: 59.6 KB - Last synced at: 20 days ago - Pushed at: about 1 month ago - Stars: 8,035 - Forks: 495

StargazerX0/ScaleKV

ScaleKV: Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression

Language: Python - Size: 3.48 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 15 - Forks: 0

FoundationVision/OmniTokenizer

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

Language: Python - Size: 68.9 MB - Last synced at: 23 days ago - Pushed at: 11 months ago - Stars: 295 - Forks: 6

axiomlab/Cable

Context-aware Biases for Length Extrapolation

Language: Python - Size: 721 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 21 - Forks: 8

buaacyw/MeshAnything

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

Language: Python - Size: 79.8 MB - Last synced at: 27 days ago - Pushed at: about 2 months ago - Stars: 2,179 - Forks: 94

monamahmoudm/Analysis-of-Population-Time-Series

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

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ais-lab/FaceAIS_REACT24

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

Language: Python - Size: 2.59 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 4 - Forks: 0

FoundationVision/Infinity

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

Language: Python - Size: 10.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1,210 - Forks: 55

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..

Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 335 - Forks: 41

czg1225/CoDe

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

Language: Python - Size: 30.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 93 - Forks: 3

SunzeY/X-Prompt

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

Size: 4.25 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 152 - Forks: 1

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

Language: Jupyter Notebook - Size: 4.04 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0

zhanghm1995/Awesome-VAR

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

Size: 16.6 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 25 - Forks: 0

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.

Language: Jupyter Notebook - Size: 21.4 MB - Last synced at: 22 days ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0

joewilaj/nbaGNNs

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

Language: Python - Size: 7.59 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 9 - Forks: 1

hp-l33/AiM

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

Language: Python - Size: 4.76 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 118 - Forks: 7

Angana1/Predictive-Analytics-to-Forecast-Lead-Price

Time-series forecasting of lead prices at the London Metal Exchange (Internship at Exide)

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arkeodev/time-series

Time Series Analysis

Language: Jupyter Notebook - Size: 14.2 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

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.

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LlamaGenAI/LlamaGen

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

Size: 3.91 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

bhattbhavesh91/auto-regressive-time-series-model

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

Language: Jupyter Notebook - Size: 299 KB - Last synced at: 16 days ago - Pushed at: about 4 years ago - Stars: 15 - Forks: 11

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.

Language: Python - Size: 11.7 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

Azie88/Time-Series-Sales-Prediction-ARIMA

Time series forecasting for store sales with ARIMA

Language: Jupyter Notebook - Size: 160 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

hidiryuzuguzel/Machine-Learning-Examples

Language: Jupyter Notebook - Size: 917 KB - Last synced at: 12 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 3

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

Language: Jupyter Notebook - Size: 22.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 14 - Forks: 1

miyosuda/heartrate-monitor

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

Language: Swift - Size: 188 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 34 - Forks: 11

jongwooko/NASH-Pruning-Official

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

Language: Python - Size: 114 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 0

sharmi1206/covid-19-analysis

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

Language: Jupyter Notebook - Size: 14.2 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 14 - Forks: 13

Fangyh09/Autoregression.Pytorch

Language: Python - Size: 985 KB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

SharathHebbar/ML-stack

Full Stack Machine Learning

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SINGHxTUSHAR/Assignment-82

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vatsmanish/Time-series

Language: Jupyter Notebook - Size: 1.13 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

aakashkh/Time-Series-Analysis

Learned time series analysis from Quantstart

Language: HTML - Size: 911 KB - Last synced at: over 1 year ago - Pushed at: almost 9 years ago - Stars: 3 - Forks: 2

gprzy/PETR4.SA-forecasting

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

Language: Jupyter Notebook - Size: 3.77 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

mdbenito/hmm-metastates

HMM for the output of HMM Autogressive

Language: Python - Size: 23.4 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 9.31 MB - Last synced at: 8 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1