a unet implementation for Image semantic segmentation
参考网上的Unet做分割的代码，做了一个针对kaggle地盐识别的，请去以下地址获取数据集:
https://www.kaggle.com/c/tgs-salt-identification-challenge
Unet参考以下Github项目：
https://github.com/Qiuyan918/Unet_Implementation_PyTorch
感谢Qiuyan918的分享！
项目结构如下： -------salt_unet-------- |
|data(place your dataset here)
|
|
|
|
|
|config.py
|
|model.py
|
|train.py
|
|dataset.py
Deep Abstract Networks A PyTorch code implemented for the submission DANets: Deep Abstract Networks for Tabular Data Classification and Regression. Do
Alias-Free Generative Adversarial Networks (StyleGAN3) Official PyTorch implementation of the NeurIPS 2021 paper Alias-Free Generative Adversarial Net
Semantic Code Search Semantic code search implementation using Tensorflow framework and the source code data from the CodeSearchNet project. The model
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well i
Pixel Transposed Convolutional Networks Created by Hongyang Gao, Hao Yuan, Zhengyang Wang and Shuiwang Ji at Texas A&M University. Introduction Pixel
Fermi softness calculation for Vienna Ab initio Simulation Package (VASP) Update 1.1.0: Big update: Rewrote the code. Use Bader atomic division instea
Codebase for learning control flow in transformers The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformer
Multiview Orthographic Feature Transformation for 3D Object Detection Multiview 3D object detection on MultiviewC dataset through moft3d. Introduction
Robust, intersection-free, simulations of rigid bodies.
Computer Vision User Entity Behavior Analytics Code repository for "Computer Vision User Entity Behavior Analytics" Code Description dataset.csv As di
Federated Learning DAG Experiments This repository contains software artifacts to reproduce the experiments presented in the Middleware '21 paper "Imp
learning-to-reweight-examples Code for paper Learning to Reweight Examples for Robust Deep Learning. [arxiv] Environment We tested the code on tensorf
DenseNet-Keras with ImageNet Pretrained Models This is an Keras implementation of DenseNet with ImageNet pretrained weights. The weights are converted
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators This is our Pytorch implementation for t
merlot MERLOT: Multimodal Neural Script Knowledge Models MERLOT is a model for learning what we are calling "neural script knowledge" -- representatio
scc4onnx Very simple NCHW and NHWC conversion tool for ONNX. Change to the specified input order for each and every input OP. Also, change the channel
AudioCLIP Extending CLIP to Image, Text and Audio This repository contains implementation of the models described in the paper arXiv:2106.13043. This
Built a deep neural network (DNN) that functions as an end-to-end machine translation pipeline. The pipeline accepts english text as input and returns the French translation.
CW Networks This repository contains the code used for the papers Weisfeiler and Lehman Go Cellular: CW Networks (Under review) and Weisfeiler and Leh
Easily train or fine-tune SOTA computer vision models from one training repository. SuperGradients Introduction Welcome to SuperGradients, a free open
55 Sep 14, 2022
185 Dec 24, 2022
24 Nov 29, 2022
0 Sep 06, 2022
95 Jul 24, 2022
11 Nov 08, 2022
24 Oct 15, 2022
20 Dec 21, 2022
93 Dec 23, 2022
2 Aug 20, 2022
5 Oct 16, 2022
261 Jan 01, 2023
568 Oct 31, 2022
12 Jul 22, 2022
190 Dec 22, 2022
16 Dec 22, 2022
458 Jan 02, 2023
1 Jan 24, 2022
108 Jan 05, 2023
619 Jan 03, 2023