1012 Open source projects that are alternatives of or similar to Randwire_tensorflow

Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch

Service Classification based on Service Description

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

The implementation of Relativistic average GAN with Keras

Label Embedding Network

Classification with PyTorch.

Deep neural network to extract intelligent information from invoice documents.

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

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…

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

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

High-quality Neural Networks for Computer Vision 😎

Theano implementation of XNOR-Net

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

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

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

The Pytorch Implementation of L-Softmax

A collection of all projects pertaining to different layers in the SDC software stack

TensorBasicModel

Implement popular models by different DL framework. Such as tensorflow and caffe

Minimalist implementation of VQ-VAE in Pytorch

RMDL: Random Multimodel Deep Learning for Classification

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Image Classification on CIFAR-10 Dataset using Multi Layer Perceptrons in Python from Scratch.

Generative Adversarial Networks in TensorFlow 2.0

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

Speech commands recognition with PyTorch

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

Detect the programming language of a source code

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

Gesture Recognition using TensorFlow

Create and manage PE node groups as resources.

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Tribuo - A Java machine learning library

memory efficient, fast & precise taxnomomic classification system for metagenomic read mapping

A Python package for time series classification

This is a Flask app that can classify images of dog and cat. The underlying model is a CNN trained using Keras framework

collection of utilities to use with deep learning libraries (e.g. caffe)

Skin cancer classification using Inceptionv3

Face Recognition Using Keras/tensorflow coupled with Node.js Server

This is a repository for an image classification inference API using the Gluoncv framework. The inference REST API works on CPU/GPU. It's supported on Windows and Linux Operating systems. Models trained using our Gluoncv Classification training repository can be deployed in this API. Several models can be loaded and used at the same time.

IEEE "Invited Talk on Deep Learning" 03/02/2018

Pruning and other network surgery for trained TF.Keras models.

Keyword spotting on Arm Cortex-M Microcontrollers

Descriptive Deep Learning

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Implementation of Quickdraw - an online game developed by Google

Layers Outputs and Gradients in Keras. Made easy.

An implementation of zoneout regularizer on LSTM-RNN by Tensorflow

List of papers, code and experiments using deep learning for time series forecasting

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

💃 Real-time single person pose estimation for Android and iOS.