1423 Open source projects that are alternatives of or similar to Neurec

TensorFlow and Deep Learning Tutorials

A curated list of dedicated resources and applications

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

This toolbox is support material for the book on CNN (http://www.convolution.network).

High-efficiency floating-point neural network inference operators for mobile, server, and Web

Visualisations for Convolutional Neural Networks in Pytorch

Various CNN models for CIFAR10 with Chainer

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Image reconstruction done with untrained neural networks.

A High-Quality Real Time Upscaler for Anime Video

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

SincNet is a neural architecture for efficiently processing raw audio samples.

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

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

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch

Summary of social recommendation papers and codes

Shared Latent Space VAE's

Variational autoencoder, denoising autoencoder and other variations of autoencoders implementation in keras

AE and VAE Playground in PyTorch

Machine learning algorithms for many-body quantum systems

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

Neural network inference the Unix way

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

Pytorch implementation of Block Neural Autoregressive Flow

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Speech Recognition model based off of FAIR research paper built using Pytorch.

Javascript/WebAssembly deep learning library for MLPs and convolutional neural networks

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

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"

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Deep Learning Computer Vision Algorithms for Real-World Use

Variational autoencoders for collaborative filtering

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'

Experiments with Adversarial Autoencoders using Keras

Learning about Haskell with Variational Autoencoders

Deep learning codes and projects using Python

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Keras tutorial for beginners (using TF backend)

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Representation learning for link prediction within social networks

Training neural models with structured signals.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Papers about recommendation systems that I am interested in

Tensorflow implementation of variational auto-encoder for MNIST