6422 Open source projects that are alternatives of or similar to Elemnet

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RAD: Reinforcement Learning with Augmented Data

An implementation of "mixup: Beyond Empirical Risk Minimization"

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

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

Learn applied deep learning from zero to deployment using TensorFlow 1.8+

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

CardIO is a library for data science research of heart signals

Keras tutorial for beginners (using TF backend)

Neural Style and MSG-Net

Service Classification based on Service Description

Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

Hiding Images within other images using Deep Learning

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

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

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

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

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Action recognition using soft attention based deep recurrent neural networks

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

TensorFlow documentation

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

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

Credit card fraud detection through logistic regression, k-means, and deep learning.

Try out deep learning models online on Google Colab

A weekly workshop series at ITP to teach machine learning with a focus on deep learning

A PyTorch implementation of OpenAI's REPTILE algorithm

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

StarNet

High-quality Neural Networks for Computer Vision 😎

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

This is a tutorial for PyTorch Geometric on the YooChoose dataset

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

Learn OpenCV : C++ and Python Examples

This is Andrew NG Coursera Handwritten Notes.

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Food detection and recommendation with deep learning

Примеры для курса "Программирование глубоких нейронных сетей на Python"

🙄 Difficult algorithm, Simple code.

VDSR (CVPR2016) pytorch implementation

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

Deep Learning Projects that Build Themselves

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

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

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/

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

3-day dive into deep learning at csc

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

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

A collection of materials to help you learn about deep learning

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics

https://arxiv.org/abs/1707.00836

High Quality Monocular Depth Estimation via Transfer Learning