AIStream

Repositories

• flow-forecast

  Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

  deep-neural-networks deep-learning time-series pytorch transformer lstm forecasting
  Python GPL-3.0 99 605 65 (1 issue needs help) 13 Updated Jul 20, 2021

• awesome_time_series_in_python

  Forked from MaxBenChrist/awesome_time_series_in_python

  This curated list contains python packages for time series analysis
  280 5 0 0 Updated May 28, 2021

• flow_docker

  File needed to run flow-forecast as a container.
  Python 0 0 2 0 Updated May 27, 2021

• pytorch_geometric_temporal

  Forked from benedekrozemberczki/pytorch_geometric_temporal

  A Temporal Extension Library for PyTorch Geometric
  Python MIT 115 0 0 0 Updated May 24, 2021

• river_flow_notebooks

  Original notebooks used to build river flow data around the U.S.
  Jupyter Notebook 0 1 2 0 Updated Feb 18, 2021

• benchmark_forecasting

  Notebooks related to benchmarking different models on COVID, River Flow, and Grocery data
  AGPL-3.0 0 0 0 0 Updated Jan 24, 2021

• experiment_configs
  Python 0 0 0 0 Updated Jan 19, 2021

• time_series_notebooks

  Repo of all
  Jupyter Notebook MIT 0 0 0 0 Updated Dec 16, 2020

• flow-api

  Flow Forecast wrapped in an easy to use production API.
  GPL-3.0 0 0 0 0 Updated Nov 25, 2020

• flow-mts-datalake

  Code for our multivariate data-lake
  0 0 0 0 Updated Aug 6, 2020

• peelout-core

  Peelout is an open source framework that aims to make it easy to refactor, deploy, and monitor deep learning models
  Python 0 1 2 0 Updated Sep 24, 2019

• outfit-it

  Rapidly refactor machine learning model code for production
  0 0 0 0 Updated Jul 30, 2019

• Real-Time-Voice-Cloning

  Forked from CorentinJ/Real-Time-Voice-Cloning

  Clone a voice in 5 seconds to generate arbitrary speech in real-time
  Python 5,107 0 0 0 Updated Jul 11, 2019

• parl_docker

  Up to date Docker container for training ParlAI models.
  Dockerfile 0 1 0 0 Updated Feb 8, 2019