51 skills found · Page 1 of 2
Zefan-Cai / KVCache FactoryUnified KV Cache Compression Methods for Auto-Regressive Models
JiaxuanYou / Graph GenerationGraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
ServiceNow / PicardPICARD - Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. PICARD is a ServiceNow Research project that was started at Element AI.
omerbsezer / Generative Models Tutorial With DemoGenerative 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..
onecat-ai / OneCATOneCAT: Decoder-Only Auto-Regressive Model for Unified Understanding and Generation
worldbank / REaLTabFormerA suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.
xichenpan / ARLDMOfficial Pytorch Implementation of Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
Yi-Shi94 / AMDMInteractive Character Control with Auto-Regressive Motion Diffusion Models
SunzeY / X PromptOfficial implementation of X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models
rk2900 / DRSADeep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Python) implemented survival analysis methods.
seanzhuh / SeqTRSeqTR: A Simple yet Universal Network for Visual Grounding
DRSY / EMO[ICLR 2024]EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling(https://arxiv.org/abs/2310.04691)
daxin007 / ARMD[AAAI 2025] Official Implementation of "Auto-Regressive Moving Diffusion Models for Time Series Forecasting"
czg1225 / CoDe[CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
SxJyJay / UniToken[CVPRW 2025] UniToken is an auto-regressive generation model that combines discrete and continuous representations to process visual inputs, making it easy to integrate both visual understanding and image generation tasks seamlessly.
VisualComputingInstitute / DR SPAAM DetectorDR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data
fusiming3 / MARSOfficial implementation of MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis
paraklas / NARGPMulti-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.
imagination-research / Distilled Decoding[ICLR 2025] Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
hyz317 / CHARM[SIGGRAPH Asia 2025] CHARM: Control-point-based 3D Anime Hairstyle Auto-Regressive Modeling
