167 Open source projects that are alternatives of or similar to SimpNet-Tensorflow

Recognize your own handwritten digits with Tensorflow, embedded in a PyQT5 GUI. The Neural Network was trained on MNIST.

Interactive exploration of MNIST variational autoencoder latent space with React and tensorflow.js.

A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.

One-Shot Learning with Triplet CNNs in Pytorch

CNN classification model built in Keras used for Digit Recognizer task on Kaggle (https://www.kaggle.com/c/digit-recognizer)

CNN architecture for predicting DNA binding sites for Transcription Factors

Tensorflow 2.0 implementation of Adversarial Autoencoders

Multiclass image classification using Convolutional Neural Network

Playing with MNIST. Machine Learning. Generative Models.

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.

A small convolution neural network deep learning framework implemented in c++.

Framework for the reproducible processing of neuroimaging data with deep learning methods

CNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).

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

Tensorflow implementation of adversarial auto-encoder for MNIST

A realtime digit OCR on the browser using Machine Learning

Keras MNIST for Handwriting Detection

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

Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).

Multi-Classification on dataset of MNIST

In-Browser Digit recognition with Tensorflow.js and React using Mnist dataset

TensorBasicModel

Implementation of cartoon GAN [Chen et al., CVPR18] with pytorch

Experiments on cluttered mnist dataset with Tensorflow.

Pedestrian Detection using Non Maximum Suppression

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

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

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)

Identifying diseases in chest X-rays using convolutional neural networks

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

Convolutional Neural Network with CUDA (MNIST 99.23%)

Tensorflow-example：使用MNIST训练模型，并识别手写数字图片

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

Generative Adversarial Networks in TensorFlow 2.0

Handwritten text to synths!

This program shows how Bounding-Box-Regression works in a visual form. Intersection over Union ( IOU ), Non Maximum Suppression ( NMS ), Object detection, 边框回归，边框回归可视化，交并比，非极大值抑制，目标检测。

Pytorch Implementation of Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

C++ Implementation of Image Super-Resolution using Convolutional Neural Network

A modified extractor for the CROHME handwritten math symbols dataset.

Implementation of a digit recognition using my Neural Network with the MNIST data set.

Implementation of LeNet5 without any auto-differentiate tools or deep learning frameworks. Accuracy of 98.6% is achieved on MNIST dataset.

DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

Code and Data for all experiments from our ACL 2018 paper "Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking"

Traffic Sign Recognition by Convolutional Neural Network (TensorFlow)

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

手写数字识别。利用Tensorflow和MNIST实现的一个简单的手写数字识别程序。

Neural network library written in C and Javascript

Predict handwritten digits with CoreML

Brain extraction in presence of abnormalities, using single and multiple MRI modalities

A curated list of dedicated resources and applications

Create adversarial images to fool a MNIST classifier in TensorFlow

Official PyTorch and MATLAB implementations of our MICCAI 2020 paper "FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology"

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

Easily train an image classifier and then use it to label/tag other images

Implementation of key concepts of neuralnetwork via numpy

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

Keras implementation of Character-level CNN for Text Classification