基于tensorflow 2.x的图片识别工具集

Last update: Nov 03, 2021

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Deep Learning Classification.tf2

Overview

Classification.tf2

基于tensorflow 2.x的图片识别工具集

功能

数据集

https://hyper.ai/area/%e5%9b%be%e5%83%8f%e5%88%86%e7%b1%bb

Backbones

densenet系列

鸣谢

Owner

Wei Qi

GitHub Repository

Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.

Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy. Now with tensorflow 1.0 support. Evaluation usa

349 Aug 06, 2022

Dynamic Bottleneck for Robust Self-Supervised Exploration

Dynamic Bottleneck Introduction This is a TensorFlow based implementation for our paper on "Dynamic Bottleneck for Robust Self-Supervised Exploration"

4 Nov 14, 2022

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

Class Activation Map methods implemented in Pytorch pip install grad-cam ⭐ Tested on many Common CNN Networks and Vision Transformers. ⭐ Includes smoo

6.6k Jan 06, 2023

Create animations for the optimization trajectory of neural nets

Animating the Optimization Trajectory of Neural Nets loss-landscape-anim lets you create animated optimization path in a 2D slice of the loss landscap

81 Dec 25, 2022

Optimizers-visualized - Visualization of different optimizers on local minimas and saddle points.

Optimizers Visualized Visualization of how different optimizers handle mathematical functions for optimization. Contents Installation Usage Functions

1 Jan 01, 2022

My implementation of Image Inpainting - A deep learning Inpainting model

Image Inpainting What is Image Inpainting Image inpainting is a restorative process that allows for the fixing or removal of unwanted parts within ima

1 Dec 12, 2021

Official implementation of Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models at NeurIPS 2021

Representer Point Selection via Local Jacobian Expansion for Classifier Explanation of Deep Neural Networks and Ensemble Models This repository is the

2 Dec 01, 2021

Reimplementation of NeurIPS'19: "Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting" by Shu et al.

[Re] Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting Reimplementation of NeurIPS'19: "Meta-Weight-Net: Learning an Explicit Mapping

1 Mar 13, 2020

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

Vector AI is a framework designed to make the process of building production grade vector based applications as quickly and easily as possible. Create

267 Dec 23, 2022

Group R-CNN for Point-based Weakly Semi-supervised Object Detection (CVPR2022)

Group R-CNN for Point-based Weakly Semi-supervised Object Detection (CVPR2022) By Shilong Zhang*, Zhuoran Yu*, Liyang Liu*, Xinjiang Wang, Aojun Zhou,

129 Dec 24, 2022

DivNoising is an unsupervised denoising method to generate diverse denoised samples for any noisy input image. This repository contains the code to reproduce the results reported in the paper https://openreview.net/pdf?id=agHLCOBM5jP

DivNoising: Diversity Denoising with Fully Convolutional Variational Autoencoders Mangal Prakash1, Alexander Krull1,2, Florian Jug2 1Authors contribut

33 Dec 30, 2022

This is a five-step framework for the development of intrusion detection systems (IDS) using machine learning (ML) considering model realization, and performance evaluation.

AB-TRAP: building invisibility shields to protect network devices The AB-TRAP framework is applicable to the development of Network Intrusion Detectio

17 Jan 04, 2023

基于tensorflow 2.x的图片识别工具集

Related tags

Overview

Classification.tf2

功能

数据集

Backbones

鸣谢

Owner

Wei Qi

Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.

Dynamic Bottleneck for Robust Self-Supervised Exploration

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

Create animations for the optimization trajectory of neural nets

Optimizers-visualized - Visualization of different optimizers on local minimas and saddle points.

My implementation of Image Inpainting - A deep learning Inpainting model

Official implementation of Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models at NeurIPS 2021

Reimplementation of NeurIPS'19: "Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting" by Shu et al.

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

Group R-CNN for Point-based Weakly Semi-supervised Object Detection (CVPR2022)

DivNoising is an unsupervised denoising method to generate diverse denoised samples for any noisy input image. This repository contains the code to reproduce the results reported in the paper https://openreview.net/pdf?id=agHLCOBM5jP

This is a five-step framework for the development of intrusion detection systems (IDS) using machine learning (ML) considering model realization, and performance evaluation.

Defending graph neural networks against adversarial attacks (NeurIPS 2020)

These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations"

Implementation of "Selection via Proxy: Efficient Data Selection for Deep Learning" from ICLR 2020.

InsightFace: 2D and 3D Face Analysis Project on MXNet and PyTorch

Official implementation of Long-Short Transformer in PyTorch.

[NeurIPS '21] Adversarial Attacks on Graph Classification via Bayesian Optimisation (GRABNEL)

Official implementation of the NeurIPS 2021 paper Online Learning Of Neural Computations From Sparse Temporal Feedback

From a body shape, infer the anatomic skeleton.