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Communication Intelligence in Smart Grid
Use unsupervised and supervised learning to predict stocks
Real-Time and Accurate Multi-Person Pose Estimation&Tracking System
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Data sets and scripts for the publication in Energy and Buildings Data driven prediction models of energy use of appliances in a low-energy house. Luis M. Candanedo, Véronique Feldheim, Dominique Deramaix. Energy and Buildings, Volume 140, 1 April 2017, Pages 81-97, ISSN 0378-7788,
Google Brain AutoML
This repository has samples that demonstrate various aspects of the AWS SDK for Android, you can get the SDK source on Github https://github.com/aws-amplify/aws-sdk-android/
TensorFlow code and pre-trained models for BERT
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Contrastive Language-Image Pretraining
✅ CODAR is a Framework built using PyTorch to analyze post (Text+Media) and predict Cyber Bullying and offensive content. 💬📷
An end-to-end tutorial to train a custom object detection model and deploy it on Android using TensorFlow Lite.
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.
List of papers, code and experiments using deep learning for time series forecasting
Tensorflow implementation of Amazon DeepAR
A unit test-like interface for fuzzing and symbolic execution
Electricity demand forecasting for Austin, TX, using a combination of timeseries methods and regression models
Faker is a Python package that generates fake data for you.
Code Repository for the online course Feature Selection for Machine Learning
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Jupyter Notebook Extension for monitoring your own Resource Usage
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
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.