228 Open source projects that are alternatives of or similar to BP-Network

Cookie Clicker source code for... educational purposes...

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搭建阅读React源码调试环境，支持所有React版本细分文件断点调试。当前最新React版本：18.1.0。 Create an environment for reading and debugging react source code, support debugging breakpoints subdivision files of all react versions. Latest version: 18.1.0.

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Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

Tensorflow implementation of adversarial auto-encoder for MNIST

Simple Implementation of many GAN models with PyTorch.

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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。

This is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.

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

Objective-C Runtime Analysis (Objective-C运行时分析)

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++.

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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。

Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

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

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

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

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

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JETPAC: annotated source code disassembly of this classic 8-bit game (1983, ZX Spectrum)

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

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

Predict handwritten digits with CoreML

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Generative Adversarial Networks in TensorFlow 2.0

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

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Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Tensorflow 2.0 implementation of Adversarial Autoencoders

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A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Lingvo

Some Pentesters, Security Researchers, Red Teamers which i learned from them a lot...

Generative Adversarial Network for MNIST with tensorflow

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MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

Keras MNIST for Handwriting Detection

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Core Java Projects with complete source code

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Tensorflow implementation of conditional variational auto-encoder for MNIST

winprint 2.0 - Advanced source code and text file printing. The perfect tool for printing source code, web pages, reports generated by legacy systems, documentation, or any text or HTML file. It works interactively or from the command line making it great for single users or whole enterprises. Works great with Powershell.

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

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Experiments on cluttered mnist dataset with Tensorflow.

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

Playing with MNIST. Machine Learning. Generative Models.