Sunflower7788's repositories
Text-to-SegmentAnything
input text prompt to segment anything model
Box_Discretization_Network
Omnidirectional Scene Text Detection with Sequential-free Box Discretization (IJCAI 2019)
CrossFormer
The official code for the paper: https://arxiv.org/pdf/2108.00154.pdf
CSWin-Transformer
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped
PaddleX
Low-code development tool based on PaddlePaddle(飞桨低代码开发工具)
detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
FaPN-full
[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
HRNet-Image-Classification
Train the HRNet model on ImageNet
keras
Deep Learning for humans
keras_to_tensorflow
General code to convert a trained keras model into an inference tensorflow model
LLM4TS
Large Language Models for Time Series.
LovaszSoftmax
Code for the Lovász-Softmax loss (CVPR 2018)
mmdetection
OpenMMLab Detection Toolbox and Benchmark
PaddleClas
A treasure chest for visual classification and recognition powered by PaddlePaddle
PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
PaddleRS
Awesome Remote Sensing Toolkit based on PaddlePaddle.
PaddleTS
Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.
pytorch-deform-conv-v2
PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)
pytorch-mobilenet-v3
MobileNetV3 in pytorch and ImageNet pretrained models
segment-anything-paddle
PaddlePaddle Implement of Meta's segment-anything
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
vision
Datasets, Transforms and Models specific to Computer Vision