中文人名语料库。人名生成器。中文姓名,姓氏,名字,称呼,日本人名,翻译人名,英文人名。可用于中文分词、人名实体识别。

PyTorch code for Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers

SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models

AFPQ code implementation

[CVPR2024 Highlight] VBench - We Evaluate Video Generation

NLP中各个技术点的模块化，这样就能在需要的时候快速组装

(ACM MM 2024 Oral) Relational Diffusion Distillation for Efficient Image Generation

[CVPR 2024] EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Quick scripts to calculate CLIP text-image similarity

SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models

(ICML 2024) BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models

QuEST: Efficient Finetuning for Low-bit Diffusion Models

This is the official pytorch implementation for the paper: Towards Accurate Post-training Quantization for Diffusion Models.(CVPR24 Poster Highlight)

[ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models"

[CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models".

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

A latent text-to-image diffusion model

High-Resolution Image Synthesis with Latent Diffusion Models

Collection of AWESOME vision-language models for vision tasks

AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for…

Conference schedule, top papers, and analysis of the data for NeurIPS 2023!

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

The link to the stored-in-image imagenet64x64 dataset. And a resnet/wrn code for it.

A list of papers, docs, codes about diffusion distillation.This repo collects various distillation methods for the Diffusion model. Welcome to PR the works (papers, repositories) missed by the repo.