116 Open source projects that are alternatives of or similar to Vgg19_with_tensorflow

VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

In-depth tutorials for implementing deep learning models on your own with PyTorch.

Train a state-of-the-art yolov3 object detector from scratch!

Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.

TensorFlow and Deep Learning Tutorials

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

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

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

High level network definitions with pre-trained weights in TensorFlow

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

a collection of my notes on deep learning

Notes and experiments to understand deep learning concepts

an implement of AlexNet with tensorflow, which has a detailed explanation.

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

Using temporal convolution to detect Audio Deepfakes

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

📢 Ready to learn or review your knowledge!

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

ImageNet pre-trained models with batch normalization for the Caffe framework

An Implementation of Fully Convolutional Networks in Tensorflow.

本代码加入了神经风格迁移中文注释，更易理解，同时新加入begin.py可直接运行调试。

A best practice for tensorflow project template architecture.

深度学习教程整理 | 干货

The implementation of Relativistic average GAN with Keras

Pyramidbox implement with pytorch

Lets Learn AI

The deeplearning algorithms implemented by tensorflow

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

A journey into Convolutional Neural Network visualization

Classification models trained on ImageNet. Keras.

Tutorial for Using Custom Layers with OpenVINO (Intel Deep Learning Toolkit)

Descriptive Deep Learning

Various CNN models for CIFAR10 with Chainer

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Yolo (Real time object detection) model training tutorial with deep learning neural networks

deeplearning.ai , By Andrew Ng, All video link

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

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

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

Computer vision based ML training data generation tool 🚀

A curated list of Deep Learning resources sorted by reputation

food image to recipe with deep convolutional neural networks.

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Deep Learning Tutorials for 10 Weeks

Implementation of popular deep learning networks with TensorRT network definition API

This is an open sourced book on deep learning.

COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.

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

Use Transformers and LSTMs to learn Python source code

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

AI场景分类竞赛

machine learning and deep learning tutorials, articles and other resources

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

This repository will contain the example detailed codes of Tensorflow and Keras, This repository will be useful for Deep Learning staters who find difficult to understand the example codes