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microsoft

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

mnist_center_loss_pytorch

A PyTorch implementation of center loss on MNIST

moco-v3

PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

moss

An open-source tool-augmented conversational language model from Fudan University

pick-pytorch

Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech tagging and word segmentation.

sadtalker

（CVPR 2023）SadTalker：Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

stable-diffusion

A latent text-to-image diffusion model

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

summarize-from-feedback

Code for "Learning to summarize from human feedback"

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

taisu

TaiSu（太素）--a large-scale Chinese multimodal dataset（亿级大规模中文视觉语言预训练数据集）

temporal-shift-module

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

tsn-pytorch

Temporal Segment Networks (TSN) in PyTorch

visual-chatgpt

Official repo for the paper: Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

visualglm-6b

Chinese and English multimodal conversational language model | 多模态中英双语对话语言模型

xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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