Alternatives and similar repositories for deep-learning

Users that are interested in deep-learning are comparing it to the libraries listed below

• deepcharles / tutorials-mva-2022
  Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)
  ☆11Updated 3 years ago
• sdepy / sdepy
  SdePy: Numerical Integration of Ito Stochastic Differential Equations
  ☆43Updated 3 years ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆42Updated 6 years ago
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆141Updated 4 months ago
• microprediction / monteprediction_colab_examples
  Monte Carlo Submission Examples
  ☆16Updated 8 months ago
• g-benton / Volt
  Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
  ☆49Updated 2 years ago
• eserie / wax-ml
  A Python library for machine-learning and feedback loops on streaming data
  ☆61Updated 2 years ago
• kxytechnologies / kxy-python
  A toolkit to boost the productivity of machine learning engineers.
  ☆52Updated 3 years ago
• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆80Updated last week
• hstrey / Ornstein-Uhlenbeck-Bayesian
  ☆18Updated 5 years ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆69Updated 9 months ago
• cvxgrp / robust_bond_portfolio
  Robust Bond Portfolio Construction via Convex-Concave Saddle Point Optimization
  ☆13Updated last year
• microprediction / m6
  M6-Forecasting competition
  ☆43Updated last year
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆58Updated 4 months ago
• saadlabyad / aslsd
  Parametric estimation of multivariate Hawkes processes with general kernels.
  ☆13Updated last year
• Rose-STL-Lab / torchTS
  Time series forecasting with PyTorch
  ☆84Updated this week
• johannfaouzi / pyts-repro
  A repository to compare the performance between the algorithms implemented in pyts and the performance reported in the literature
  ☆18Updated last year
• gerdm / BONE
  Repository for the paper "BONE: a unifying framework for Bayesian online learning in non-stationary environments"
  ☆17Updated 2 weeks ago
• PYFTS / notebooks
  Code examples for pyFTS
  ☆51Updated 5 years ago
• stochasticresearch / copula-py
  Python Copula Module
  ☆43Updated 2 years ago
• SebastianCallh / neural-ode-weather-forecast
  How to train a neural ODE for time series/weather forecasting
  ☆37Updated 2 years ago
• DidierRLopes / timeseries-cv
  Time-Series Cross-Validation Module
  ☆45Updated 3 years ago
• abrvkh / WaveNet_simple
  A simple implementation of the WaveNet model for time series forecasting
  ☆26Updated 7 years ago
• sktime / pysf
  Supervised forecasting of sequential data in Python.
  ☆55Updated 6 years ago
• nla-group / fABBA
  A Python library for the fast symbolic approximation of time series
  ☆45Updated 3 weeks ago
• boniolp / Theseus
  [VLDB 2022] Dash application for "Navigating the Labyrinth of Time Series Anomaly Detection"
  ☆24Updated 2 years ago
• xadrianzetx / optuna-distributed
  Distributed hyperparameter optimization made easy
  ☆37Updated 11 months ago
• ryanholbrook / critical-transitions
  Detecting critical transitions in financial networks with topological data analysis.
  ☆16Updated 6 years ago
• nonabelian / dragon_kings
  Log-periodic power laws for critical phenomena
  ☆14Updated 6 years ago
• erdogant / caerus
  Detection of favorable moments in time series data
  ☆31Updated last year