Alternatives and similar repositories for NNS

Users that are interested in NNS are comparing it to the libraries listed below

• MatthewK84 / LinkedIn-Learning-Journey
  Matthew Kolakowski Learning Journey with Articles on Time Series Analysis, Machine Learning, Python Programming, and Systems Engineering.
  ☆29Updated last week
• microprediction / m6
  M6-Forecasting competition
  ☆43Updated last year
• Mcompetitions / M6-methods
  Data, Benchmarks, and methods submitted to the M6 forecasting competition
  ☆118Updated 10 months ago
• microprediction / m6entry
  ☆20Updated 2 years ago
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆38Updated 5 months ago
• rakshitha123 / WeeklyForecasting
  This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…
  ☆47Updated 3 years ago
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆31Updated last week
• tblume1992 / MFLES
  ☆115Updated last year
• jessegrabowski / statespace-presentation
  Presentation materials for PyMC Statespace
  ☆23Updated 11 months ago
• lixixibj / DeepVARwT-data-code
  ☆20Updated 11 months ago
• ChadFulton / scipy2022-bayesian-time-series
  Bayesian Estimation and Forecasting of Time Series in statsmodels, for Scipy 2022 conference
  ☆24Updated 3 years ago
• MarcoGorelli / wound-ignite
  Prize-winning solution to the M6 Forecasting Competition
  ☆23Updated 2 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆147Updated last year
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆27Updated 2 years ago
• microprediction / precise
  World beating online covariance and portfolio construction.
  ☆306Updated this week
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆81Updated last month
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆238Updated last week
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 6 months ago
• microprediction / winning
  Inference of relative ability from winning probabilities
  ☆44Updated 6 months ago
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆42Updated this week
• Nixtla / fpp3-python
  Forecasting: principles and practice in python
  ☆180Updated 2 years ago
• xRiskLab / xBooster
  Explainable Boosted Scoring with Python: turning XGBoost and CatBoost classifiers into explainable scorecards
  ☆15Updated 4 months ago
• ZitongYang / bellman-conformal-inference
  Python implementation for Bellman Conformal Inference algorithm for time series forecasting.
  ☆21Updated last year
• microprediction / mkalgo
  Mueen-Keogh Algorithm for finding timeseries motifs
  ☆21Updated 4 years ago
• SaremS / sample_notebooks
  Loose collection of Jupyter notebooks, mostly for my blog
  ☆28Updated 9 months ago
• crunchdao / quickstarters-adialab
  ☆50Updated 2 years ago
• ostojanovic / causalML
  ☆33Updated 11 months ago
• ysaporito / fourier-bayesian-sv-estimation
  Fourier-Bayesian estimation of stochastic volatility models
  ☆17Updated 3 years ago
• pmontman / fforma
  R package for Feature-based Forecast Model Averaging
  ☆35Updated 5 years ago
• sn-code-inside / gaussian-process-models-for-quantitative-finance
  ☆20Updated 5 months ago