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ai-ml

Communication Intelligence in Smart Grid

aialpha

Use unsupervised and supervised learning to predict stocks

alphapose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

appliances-energy-prediction-data

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,

arima-and-seasonal-arima

automl

Google Brain AutoML

aws-sdk-android-samples

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/

bert

TensorFlow code and pre-trained models for BERT

bytetrack

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

clip

Contrastive Language-Image Pretraining

codar

✅ CODAR is a Framework built using PyTorch to analyze post (Text+Media) and predict Cyber Bullying and offensive content. 💬📷

code_snippets

comments-sexual-harassment-data

custom-object-detection-on-android-using-tf-lite

An end-to-end tutorial to train a custom object detection model and deploy it on Android using TensorFlow Lite.

datasets

deep-learning-keras-tf-tutorial

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.

deep-learning-time-series

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

deepar

Tensorflow implementation of Amazon DeepAR

deepstate

A unit test-like interface for fuzzing and symbolic execution

electricitydemandforecasting

Electricity demand forecasting for Austin, TX, using a combination of timeseries methods and regression models

faker

Faker is a Python package that generates fake data for you.

feature-selection-for-machine-learning

Code Repository for the online course Feature Selection for Machine Learning

getting-things-done-with-pytorch

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.

gittest

interview-prepartion-data-science

jupyter-resource-usage

Jupyter Notebook Extension for monitoring your own Resource Usage

keras-textclassification

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-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

machine-learning-links-and-lessons-learned