281 Open source projects that are alternatives of or similar to Spatial-Transformer-Networks-with-Keras

PyTorch tutorials A to Z

Experiments on cluttered mnist dataset with Tensorflow.

Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.

Adversarial Discriminative Domain Adaptation in Chainer

A modified extractor for the CROHME handwritten math symbols dataset.

A Flask web app for handwritten digit recognition using machine learning

微信公众号数字识别

Small Robot, Toy Robot platform

Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.

Implementation of key concepts of neuralnetwork via numpy

a collection of visualization function

Create adversarial images to fool a MNIST classifier in TensorFlow

This app predicts the age of a person from the picture input using camera or photos gallery. The app uses Core ML framework of iOS for the predictions. The Vision library of CoreML is used here. The trained model fed to the system is AgeNet.

Simple neural network implementation in Rust

[CVPR2020] Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation

Learning about Haskell with Variational Autoencoders

Deep Learning with Tensorflow/Keras: Digit recognition based on mnist-dataset and convolutional neural-network on iOS with CoreML

EVEREST: e-Versatile Research Stick for peoples

Google Vision API made easy!

Packaged, Pytorch-based, easy to use, cross-platform version of the CRAFT text detector

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

数字图像课程大作业，实现图片中文档提取与矫正。整体思路是通过hough变换检测出直线，进而得到角点，最后经过投影变换，进行矫正。整个项目只用到了opencv的IO操作(包括手写卷积，hough哈夫变换，投影变换等等)

Handwritten text to synths!

6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

Neural nets for MNIST classification, simple single layer NN, 5 layer FC NN and convolutional neural networks with different architectures

[CVPR21] Visual Semantic Role Labeling for Video Understanding (https://arxiv.org/abs/2104.00990)

Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

CNN example for training your own datasets.

A program for controlling a micro-UAV for obstacle detection and collision avoidance using disparity mapping

Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

Using various CNN techniques on the MNIST dataset

A curated collection of iOS 14 projects ranging from SwiftUI to ML, AR etc.

VisionCamera Frame Processor Plugin to label images using MLKit Vision

A Tensorflow Implementation of the SimpNet Convolutional Neural Network Architecture

Emerging Technologies Project - 4th Year 2017

A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)

This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".

⌨️Camera calculator with Vision

Simple Keras implementation of Triplet-Center Loss on the MNIST dataset

Convolutional Neural Network with CUDA (MNIST 99.23%)

Open Set Recognition

Neural network library written in C and Javascript

An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

MNIST classifier built for TensorFlow Lite - Android, iOS and other "lite" platforms

Precision landing on a visual target using OpenCV and dronekit-python

TensorBasicModel

mnist with Tensorflow

GBDT (Gradient Boosted Decision Tree: 勾配ブースティング) のpythonによる実装

An optimizer that trains as fast as Adam and as good as SGD in Tensorflow

Implementation of Lucas Kanade Tracking system using six parameter affine model and recursive Gauss-Newton process.

Powershell module to access Microsoft Azure Machine learning RESTful API's or Microsoft cognitive services

Libtorch Examples

This app detects the text from the picture input using camera or photos gallery. The app uses MLVisionTextModel for on device detection. The Vision framework from MLKit of Google is used here.

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…

A minimal implementation of Wasserstein GAN

Extreme Learning Machine implemented in Pytorch