Alternatives and similar repositories for neurips-autogluon-workshop

Users that are interested in neurips-autogluon-workshop are comparing it to the libraries listed below

• tirthajyoti / Synthetic-data-gen
  Various methods for generating synthetic data for data science and ML
  ☆80Updated 4 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 3 years ago
• 2wavetech / How-to-Check-if-Time-Series-Data-is-Stationary-with-Python
  How to Check if Time Series Data is Stationary with Python
  ☆31Updated 8 years ago
• sarincr / Time-series-analysis-using-Python
  Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…
  ☆34Updated 5 years ago
• XinshaoAmosWang / DeepCriticalLearning
  Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
  ☆31Updated 2 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• david10e10 / High-Dim-TS-Medium
  Deep Learning for High-Dimensional Time Series
  ☆22Updated 6 years ago
• jianzhnie / AutoTabular
  Automatic machine learning for tabular data. ⚡🔥⚡
  ☆70Updated 3 years ago
• aws-samples / amazon-sagemaker-time-series-prediction-using-gluonts
  ☆22Updated 5 years ago
• mb4310 / Time-Series
  The purpose of this repo is to implement & analyze various deep learning and hybrid approaches to time-series classification and regressi…
  ☆39Updated 6 years ago
• drivendataorg / power-laws-cold-start
  ☆24Updated 2 years ago
• leanderloew / ES-RNN-Pytorch
  This is a work in progress Pytorch implementation of the recently proposed ES-RNN by Slawek Smyl, winner of the M4 competition
  ☆12Updated 6 years ago
• smazzanti / valicast
  Validation for forecasts
  ☆17Updated 2 years ago
• philipperemy / python-pubsub
  A simple python implementation of a message router with many subscribers and many publishers.
  ☆12Updated 3 years ago
• francois-meyer / time2vec
  This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
  ☆59Updated 7 years ago
• lovvge / Forecasting-Tutorials
  ☆23Updated 4 years ago
• manujosephv / deeprenewalprocess
  GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]
  ☆31Updated 3 years ago
• h3ik0th / ES_energy_Transformer
  Python Darts deep forecasting models
  ☆34Updated 3 years ago
• rakshita95 / DeepLearning-time-series
  LSTM for time series forecasting
  ☆29Updated 8 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆27Updated 5 years ago
• jwmueller / KDD20-tutorial
  Tutorial on Automated Machine Learning at KDD 2020
  ☆55Updated 5 years ago
• oguiza / Practical-Deep-Learning-Applied-to-Time-Series
  Practical Deep Learning resources for Time series analysis and forecasting
  ☆85Updated 4 years ago
• fmorenopino / HeterogeneousHMM
  Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…
  ☆80Updated 2 years ago
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆77Updated 2 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 4 years ago
• DidierRLopes / timeseries-cv
  Time-Series Cross-Validation Module
  ☆46Updated 3 years ago
• MSRDL / Deep4Cast
  Probabilistic Multivariate Time Series Forecast using Deep Learning
  ☆97Updated 6 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• drivendataorg / power-laws-forecasting
  Winners of the Power Laws forecasting competition
  ☆64Updated 2 years ago