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Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the MNIST dataset, namely, a CNN using Keras and a fully-connected network using TensorFlow.
Version control for my deep learning course.
Annotation of ECG signals using deep learning. Tutorial
Batik motif classification (5 classes) using VGG16 transfer learning
A community run, 5-day PyTorch Deep Learning Bootcamp
Convolutional Neural Network
Deep Learning Papers on Medical Image Analysis
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Deep Learning in Monitoring Surveillance Videos. Winner of Facebook Hacker Demo at "Hack The North 2017" hackathon at University of Waterloo, Canada.
This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete and executable examples in Python.
Collection of papers and other resources for object tracking and detection using deep learning
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
Keras code and weights files for popular deep learning models.
:satellite: Organized Resources for Deep Learning in Natural Language Processing
Various deep learning notebooks, with exercises in image classification, object detection, and natural language processing
Experiments with Deep Learning
Object detectors based on DL (from: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html )
Agrupando conceitos e classificando imagens com Deep Learning - Uma introdução aos conceitos de CNN com Python, Scikit Learning e Keras.
Paper-Notes
projects on deep learning, state of the art models
Deep Learning with Apache Spark and Deep Cognition
List of papers, code and experiments using deep learning for time series forecasting
Searching a video for relevant objects & making a short video containing the frames with those objects.
Deep learning with cats (^._.^)
Belajar Deep Learning Secara Praktis Menggunakan PyTorch
:satellite: Organized Resources for Deep Learning Researchers and Developers
Deep learning project to transform male portraits into female and vice versa
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.