sunilmallya / timeseries
Deep Learning repo for timeseries and sequence data
☆100Updated 6 years ago
Alternatives and similar repositories for timeseries:
Users that are interested in timeseries are comparing it to the libraries listed below
- Using Deep Learning for Demand Forecasting with Amazon SageMaker☆85Updated 2 years ago
- ☆22Updated 5 years ago
- INACTIVE - please go to https://gitlab.com/juliensimon/dlnotebooks☆110Updated 6 years ago
- Example custom model image trainable and distributable via AWS SageMaker☆36Updated last year
- Demand Forecasting Models for Kaggle competition☆81Updated 6 years ago
- Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series☆67Updated 7 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 7 years ago
- Multivariate Time-Series Analysis using Recurrent Neural Net with Long Short Term Memory for forecasting surge pricing 5 min into the fut…☆44Updated 8 years ago
- A Keras-based library for analysis of time series data using deep learning algorithms.☆117Updated 7 years ago
- Amazon SageMaker Solution for explaining credit decisions.☆96Updated last year
- Hierarchical Time Series Forecasting using Prophet☆144Updated 3 years ago
- Predict taxi trip duration based on historical trips using automated feature engineering☆62Updated 4 years ago
- Forecasting Uber demand in NYC neighborhoods☆34Updated 6 years ago
- helpful resources for (big) data science☆33Updated 3 years ago
- environment setup for strata conference 2018☆67Updated 6 years ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆171Updated last year
- Added repo for PyData LA 2018 tutorial☆89Updated 6 years ago
- Examples of implementations of WTTE-RNN☆33Updated 6 years ago
- Explore tips and tricks to deploy machine learning models with Docker.☆13Updated last year
- Sagemaker pipeline for AWS Summit New York☆58Updated 5 years ago
- Workshop to demonstrate how to apply NN based algorithms to stock market data and forecast price movements.☆130Updated 5 years ago
- Predictive Maintenance using Pyspark☆124Updated 5 years ago
- ☆100Updated 6 years ago
- Supplementary Material for Machine Learning for Time Series Analysis☆19Updated 7 years ago
- 32/2384 Solution to Kaggle Mercari Competition (solo silver medal winner)☆20Updated 6 years ago
- Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM☆47Updated 7 years ago
- ☆77Updated 8 years ago
- 57th place solution in "Bosch Production Line Performance"☆19Updated 7 years ago
- A Spark library for Amazon SageMaker.☆299Updated 2 months ago
- Embed categorical variables via neural networks.☆59Updated last year