Alternatives and similar repositories for NNS

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

• Mcompetitions / M6-methods
  Data, Benchmarks, and methods submitted to the M6 forecasting competition
  ☆129Updated last year
• MatthewK84 / LinkedIn-Learning-Journey
  Matthew Kolakowski Learning Journey with Articles on Time Series Analysis, Machine Learning, Python Programming, and Systems Engineering.
  ☆29Updated this week
• microprediction / m6
  M6-Forecasting competition
  ☆43Updated last year
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆44Updated 3 weeks ago
• jessegrabowski / statespace-presentation
  Presentation materials for PyMC Statespace
  ☆25Updated last year
• microprediction / m6entry
  ☆20Updated 2 years ago
• SaremS / sample_notebooks
  Loose collection of Jupyter notebooks, mostly for my blog
  ☆28Updated last year
• rakshitha123 / WeeklyForecasting
  This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…
  ☆48Updated 3 years ago
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆33Updated 2 months ago
• ChadFulton / scipy2022-bayesian-time-series
  Bayesian Estimation and Forecasting of Time Series in statsmodels, for Scipy 2022 conference
  ☆25Updated 3 years ago
• xRiskLab / xBooster
  Explainable Boosted Scoring with Python: turning XGBoost, LightGBM, and CatBoost into explainable scorecards
  ☆49Updated last week
• tblume1992 / MFLES
  ☆115Updated last year
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆148Updated 2 years ago
• crunchdao / quickstarters-adialab
  ☆50Updated 2 years ago
• MarcoGorelli / wound-ignite
  Prize-winning solution to the M6 Forecasting Competition
  ☆23Updated 2 years ago
• lixixibj / DeepVARwT-data-code
  ☆20Updated 2 months ago
• microprediction / precise
  World beating online covariance and portfolio construction.
  ☆311Updated 3 months ago
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆88Updated 6 months ago
• dppalomar / riskParityPortfolio
  Design of Risk Parity Portfolios
  ☆117Updated 3 years ago
• MOSEK / PortfolioOptimization
  Material accompanying the MOSEK Portfolio Optimization Cookbook
  ☆99Updated last year
• ysaporito / fourier-bayesian-sv-estimation
  Fourier-Bayesian estimation of stochastic volatility models
  ☆17Updated 4 years ago
• differential-machine-learning / notebooks
  Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Diff…
  ☆145Updated 3 years ago
• Farmhouse121 / Adventures-in-Financial-Data-Science
  Here I am collecting the scripts I have used to prepare my book "Adventures in Financial Data Science" and to support my other writing, s…
  ☆64Updated 9 months ago
• RudyMorel / shadowing
  Implements Path Shadowing Monte Carlo (PSMC).
  ☆86Updated last year
• microprediction / timeseries-notebooks
  Hello world univariate examples for a variety of time series packages.
  ☆57Updated last year
• microprediction / winning
  Inference of relative ability from winning probabilities
  ☆48Updated last month
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆27Updated 2 years ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆251Updated last week
• pmontman / fforma
  R package for Feature-based Forecast Model Averaging
  ☆35Updated 5 years ago
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆45Updated last week