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awesome-deep-learning-papers-for-search-recommendation-advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

awesome-polyp-segmentation

cascade

darknet

Convolutional Neural Networks

dscnet

Pytorch Implement of Dynamic Snake Convolution (ICCV2023)

duck-net

Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )

iris-classification-based-on-a-neural-network-algorithm-using-pytorch

Iris classification based on a neural network algorithm using pytorch

msrf-net

nested-unet

實作 U-Net++ 用以處理 LNDb 的 nodules segmentation。

nested-unet11

Code for an image segmentation model based on Nested UNet (Inculdes UNet).

nnunet

polyp-pvt

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers, AIR 2023.

polyp-sam

This repo contains the code and model weights for Polyp-SAM

pranet

PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pvt

Official implementation of PVT series

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorchtutorials

PyTorch tutorials.

resnet-1k-layers

Deep Residual Networks with 1K Layers

rknn-toolkit2

rknpu2

sanet

Codes for MICCAI2021 paper "Shallow Attention Network for Polyp Segmentation"

ssformer

tganet

TGANet: Text-guided attention for improved polyp segmentation [Early Accepted & Student Travel Award at MICCAI 2022]

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

transformers-crash-course

A collection of tutorials and notebooks explaining transformer models in deep learning.

unetplusplus

[IEEE TMI] Official Implementation for UNet++

wrapper-feature-selection-toolbox-python

This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

zoofs

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.