1149 Open source projects that are alternatives of or similar to Androidtensorflowmnistexample

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

Lets Learn AI

machine learning and deep learning tutorials, articles and other resources

Примеры для курса "Программирование глубоких нейронных сетей на Python"

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

The implementation of Relativistic average GAN with Keras

deeplearning.ai , By Andrew Ng, All video link

Deep neural networks for predicting CpG methylation

Deep neural network to extract intelligent information from invoice documents.

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

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

Deepfakes Software For All

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

This is an open sourced book on deep learning.

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

List of articles related to deep learning applied to music

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Learn OpenCV : C++ and Python Examples

Minimalist implementation of VQ-VAE in Pytorch

TensorFlow 2.0 Various notes and tutorials

郑泽宇等《TensorFlow实战Google深度学习框架》（第二版）学习

Implementation of key concepts of neuralnetwork via numpy

A few TensorFlow techniques I'm saving for future reference.

A paper list of object detection using deep learning.

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

Open Toolkit for Painless Object Detection

A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.

An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

Action recognition using soft attention based deep recurrent neural networks

Voice Activity Detection based on Deep Learning & TensorFlow

Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.

Speaker independent emotion recognition

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

Distributed Keras Engine, Make Keras faster with only one line of code.

Learning Chinese Character style with conditional GAN

Season 2 of @twosigma's artificial intelligence programming challenge

Sparse and structured neural attention mechanisms

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

The code for the MaD TwinNet. Demo page:

Generative Adversarial Networks in TensorFlow 2.0

A detailed tutorial on how to build a traffic light classifier with TensorFlow for the capstone project of Udacity's Self-Driving Car Engineer Nanodegree Program.

Introduction to Deep Learning: Chainer Tutorials

Balanced Multiclass Image Classification with TensorFlow on Python.

How to use TensorLayer

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

Deep Learning Projects that Build Themselves

Hierarchical Attention Networks for document classification

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

YOLO for object detection tasks

This is a repository for an object detection inference API using the Tensorflow framework.

Gorgonia is a library that helps facilitate machine learning in Go.

A best practice for tensorflow project template architecture.

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

🍃 Using a Neural Network to improve web accessibility in JavaScript.