Signal Propagation Plot (SPP) library
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Updated
Feb 17, 2021 - Python
Signal Propagation Plot (SPP) library
Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".
Presentation on Normalizer-Free (Res)Nets conducted at Wrocław University of Science and Technology on 10 March. 2021.
Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".
Silver Medal Solution for Shopee - Price Match Guarantee competition on Kaggle
E-Commerce Product Matching using Deep Neural Networks
Railway infrastructure segmentation with Pyramid Attention Network - prizewinner of Digital Breakthrough 2022 Hackathon
This repo deals with a Kaggle competition: Shopee - Price Match Guarantee. The purpose is to determine if two products are the same by their images.
This is a warehouse for NFNets-pytorch-model, can be used to train your image dataset.
NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
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