Alla-Abdella

IEEE-Comparitive-Study-VAE-Paper-

A Statistical Comparative Study on Image Reconstruction and Clustering.

bert-stack-overflow

Train a BERT model with TensorFlow 2.0 to automatically tag StackOverflow questions!

COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covidAsk

covidAsk: Answering Questions on COVID-19 in Real-Time

deep-learning-time-series

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

Feature-Selection

Feature selection methods

featuretools

An open source python library for automated feature engineering

fit-rec

Code for WWW 19' paper

Git-Course

Start a Git course.

github-slideshow

A robot powered training repository :robot:

google-research

Google Research

InceptionTime

InceptionTime: Finding AlexNet for Time Series Classification

knowledge_graph

Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA

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

lstm_autoencoder_classifier

An LSTM Autoencoder for rare event classification

MachineLearningNotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

MLOpsPython

MLOps using Azure ML Services and Azure DevOps

pmdarima

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

practical-nlp-code

Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media

Project-6-Bikesharing-Hourly-Usage-and-Stations-Clustering

PythonNumericalDemos

A collection of Python demos for geostatistical methods.

scipy_con_2019

Tutorial Sessions for SciPy Con 2019

sktime

A scikit-learn compatible Python toolbox for machine learning with time series

Starling-7B-LLM-Notebook

Starling 7B LLM Notebook

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

tensorflow

An Open Source Machine Learning Framework for Everyone

TimeSeriesAnalysisWithPython

transdim

Machine learning for transportation data imputation and prediction.

understanding-lstm-autoencoder

Understanding an LSTM Autoencoder

Variational-Lstm-Autoencoder

Lstm variational auto-encoder API for time series anomaly detection and features extraction