ControlNet++: All-in-one ControlNet for image generations and editing!

ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model

Open-Sora: Democratizing Efficient Video Production for All

Paint by Example: Exemplar-based Image Editing with Diffusion Models

TiC: Exploring Vision Transformer in Convolution

PaddleFormers is an easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.

This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbox).

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

Anti-UAV base on PaddleDetection

[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Deep Active Learning

Meshed-Memory Transformer for Image Captioning. CVPR 2020

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

Meshed-Memory Transformer for Image Captioning. CVPR 2020

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2…

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

PyTorch implementation of YOLOv4

PyTorch implementation of YOLOv4

1st place models in Google OpenImage Detection Challenge 2019

This is the implementation of self-CIDEr and LSA-based diversity metrics (only for python 2.7).

A new codebase of Scene Graph Generation based on maskrcnn-benchmark. A Pytorch implementation of the CVPR 2020 Oral paper "Unbiased Scene Graph Generation from Biased Training"

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiase…

Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)

A summary of must-read papers for Neural Question Generation (NQG)