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Code for the paper "Language Models are Unsupervised Multitask Learners"
[ICLR 2025] Autoregressive Video Generation without Vector Quantization
A Simple and Scalable Representation for Graph Generation (ICLR 2024)
List of papers on ICLR 2024
Reference implementation for DPO (Direct Preference Optimization)
Halton Scheduler for Masked Generative Image Transformer
[ICLR 2025] Implementation of "Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning"
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
Official JAX implementation of MAGVIT: Masked Generative Video Transformer
A PyTorch implementation of the paper "Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis"
[EACL'21] Non-Autoregressive with Pretrained Language Model
Non-autoregressive Translation by Learning Target Categorical Codes
[NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"
Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)
Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI
VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language Model
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections, ICLR 2024
[ICLR 2025] VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation
The official implementation of PAR: Parallelized Autoregressive Visual Generation. https://epiphqny.github.io/PAR-project/
🐟 Code and models for the NeurIPS 2023 paper "Generating Images with Multimodal Language Models".
LaVIT: Empower the Large Language Model to Understand and Generate Visual Content
This is the code for the SpeechTokenizer presented in the SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models. Samples are presented on
这是GraphSAGE模型在Cora、Citeseer、Pubmed数据集上的复现代码。语言:PyTorch