6361 Open source projects that are alternatives of or similar to Pycon Ua 2018

All of the code for my Medium articles

Time Series Forecasting Best Practices & Examples

Anomaly detection tutorial on univariate time series with an auto-encoder

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Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Automatic extraction of relevant features from time series:

1st place solution

Stock Analysis Tutorial in Python

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

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Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

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A python library for time-series smoothing and outlier detection in a vectorized way.

Tutorial Sessions for SciPy Con 2019

Variational Autoencoder for Dimensionality Reduction of Time-Series

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Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

Collection of useful data science topics along with code and articles

An open-source, low-code machine learning library in Python

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.

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

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

Code repository of the paper "Wavelet Networks: Scale Equivariant Learning From Raw Waveforms" https://arxiv.org/abs/2006.05259

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

DeltaPy - Tabular Data Augmentation (by @firmai)

Anomaly detection for temporal data using LSTMs

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

Source material for Python Like You Mean it

Anything can happen in the next half hour (including spectral timing made easy)!

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Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Deep learning meets molecular dynamics.

Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python

A repository to keep track of all the code that I end up writing for my blog posts.

A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

ASAP: Prioritizing Attention via Time Series Smoothing

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Rapid large-scale fractional differencing with RAPIDS to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Interactive Data Visualisation of U.S College Majors

Code and Notebooks for the Natural Language Processing with Python course.

Curso de Inteligencia Artificial aplicada a Negocios y Empresas

2020 MIND news recomendation first place solution

The Perfect Python Project Template. Bored of coding anew the same thing for your new Python projects? Here is what you need. Click below on the "use this template" green button to start using it instantly. Rename the "project" folder and all references to this folder to customize your project name.

Fast artistic style transfer with convolutional neural networks.

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Principles of Data Science by Packt

🔍 Attentional interfaces in TensorFlow.

Implementation of NIPS 2017 paper "Pose Guided Person Image Generation" in PyTorch. https://arxiv.org/abs/1705.09368

500,000 multimodal short video data and baseline models. 50万条多模态短视频数据集和基线模型（TensorFlow2.0）。

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