654 Open source projects that are alternatives of or similar to Tensorflow Mnist Cnn

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Medical image preprocessing and augmentation toolkit for deep learning

Implementation of CNNs, RNNs, and many deep learning techniques in plain Numpy.

Implementation of key concepts of neuralnetwork via numpy

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

Data augmentation for NLP, presented at EMNLP 2019

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

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

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Artificial Intelligence Learning Notes.

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

PyTorch tutorials A to Z

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Simple Convolutional Neural Network Library

FPGA Accelerator for CNN using Vivado HLS

TensorFlow template application for deep learning

Sentence Classifications with Neural Networks

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

🎎 InfoGAN: Interpretable Representation Learning

repo that holds code for improving on dropout using Stochastic Delta Rule

A python program to detect and classify hand pose using deep learning techniques

Learning Deep Features for Discriminative Localization (2016)

Using Keras and cats to visualize layers from CNNs

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

A tensorflow implementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

Implementing a self driving car using a 3D Driving Simulator. CNN will be used for training

A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"

A specially designed light version of Fast AutoAugment

Python package to corrupt arbitrary images.

A library for augmenting annotated audio data

Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data"

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

This code implements a simple CNN model for document classification with tensorflow.

A Python package for time series augmentation

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

Style transfer using deep convolutional neural nets

Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...

use cnn recognize captcha by tensorflow. 本项目针对字符型图片验证码，使用tensorflow实现卷积神经网络，进行验证码识别。

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

Image denoising using deep CNN with batch renormalization(Neural Networks,2020)

Person re-ID baseline with triplet loss

Tensorflow implementation of conditional variational auto-encoder for MNIST

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.

attention based joint model for intent detection and slot filling

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

CNN image classifier implemented in Keras Notebook 🖼️.

PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

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

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

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

코딩셰프의 3분 딥러닝, 케라스맛

Transforms for video datasets in pytorch

Radar target classification, detection and recognition using deeplearning methods on MSTAR dataset

Copy-paste augmentation for segmentation and detection tasks