7636 Open source projects that are alternatives of or similar to Servenet

All about Neural Networks!

Hierarchical Attention Networks for document classification

High-quality Neural Networks for Computer Vision 😎

food image to recipe with deep convolutional neural networks.

Implementation of Hierarchical Attention Networks in PyTorch

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

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

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

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

DLTK Model Zoo

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Using pre trained word embeddings (Fasttext, Word2Vec)

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Implementation of Quickdraw - an online game developed by Google

Action recognition using soft attention based deep recurrent neural networks

Try out deep learning models online on Google Colab

Code for Tensorflow Machine Learning Cookbook

keras를 이용한 딥러닝 기초 학습

PyTorch tutorial for learners

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Learn OpenCV : C++ and Python Examples

YOLO for object detection tasks

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

Multiple implementations for abstractive text summurization , using google colab

Deep neural network to extract intelligent information from invoice documents.

Object classification with CIFAR-10 using transfer learning

Deep Learning Projects that Build Themselves

RMDL: Random Multimodel Deep Learning for Classification

A one-stop repository for low-code easily-installable object detection pipelines.

由淺入深的深度學習資源 Collection of deep learning materials for everyone

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

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

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

PyTorch Tutorial (1.7)

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

This is the implementation of paper <Additive Margin Softmax for Face Verification>

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Predict Cryptocurrency Price with Deep Learning

TensorFlow documentation

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

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/

深度学习笔记

Music recommender using deep learning with Keras and TensorFlow

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Exercise notebooks for CVND.

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

deeplearning.ai , By Andrew Ng, All video link

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

NeuPy is a Tensorflow based python library for prototyping and building neural networks

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

Training code for facial landmark detection based on deep convolutional neural network.

Deep neural network framework for multi-label text classification

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet