Alternatives and similar repositories for awesome-bayes-nets

Users that are interested in awesome-bayes-nets are comparing it to the libraries listed below

• Elsemary / Actuarial-Reserve-Risk-Classification-with-Gaussian-Mixture
  Classification of reserve risk with chain-ladder
  ☆12Updated 5 years ago
• MarieImokoyende / vae-dimRedFinance
  ☆9Updated 6 years ago
• rakshita95 / DeepLearning-time-series
  LSTM for time series forecasting
  ☆28Updated 7 years ago
• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆41Updated 5 years ago
• anebz / resources
  Curated list of resources for various topics, articles, tutorials, etc I've found useful.
  ☆19Updated 2 years ago
• evijit / Finance_Graph_Theory
  Modelling Connectedness of Firms in Financial Markets with Heterogeneous Agents
  ☆22Updated 6 years ago
• SimonOuellette35 / PyData-talk---Intro-to-PyMC3
  Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"
  ☆13Updated 6 years ago
• cauchyturing / Deconv_SAX
  Representation Learning with Deconvolutional Networks for Multivariate Time Series
  ☆12Updated 8 years ago
• alan-turing-institute / rPSMF
  Code for Probabilistic Sequential Matrix Factorization
  ☆15Updated 4 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• firmai / DeepLearningForTimeSeriesForecasting
  A tutorial demonstrating how to implement deep learning models for time series forecasting
  ☆12Updated 5 years ago
• firmai / firmai.github.io
  Open Business Analytics and Data Science Research
  ☆14Updated 4 years ago
• vcerqueira / vest
  Automatic Feature Engineering for Time Series
  ☆17Updated 2 years ago
• jinnerbichler / g-research-challenge
  Project for the financial forecasting challenge from G-Research (https://financialforecasting.gresearch.co.uk/).
  ☆7Updated 7 years ago
• firmai / business-datasets
  A selection of business datasets
  ☆18Updated 5 years ago
• amzn / supply-chain-simulation-environment
  ☆52Updated 3 years ago
• DiegoAE / BOSD
  ☆26Updated 5 years ago
• firmai / reddit-data-science-project-ideas
  Reddit Data Science Project Ideas
  ☆10Updated 5 years ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆34Updated 8 years ago
• microsoft / AdversarialGMM
  Minimax Estimation of Conditional Moment Models
  ☆30Updated 2 years ago
• JessieRayeBauer / Time-Series-Forecasting-
  Consulting Project with Manifold.co: Modeling System Resource Usage for Predictive Scheduling
  ☆23Updated 6 years ago
• Imperial-College-Data-Science-Society / Machine-Learning-API
  ICDSS Machine Learning Workshop Series: Machine Learning APIs
  ☆9Updated 7 years ago
• firmai / python-for-finance
  ☆14Updated 6 years ago
• automl / learning_environments
  We propose an evolution-based approach to meta-learn synthetic neural environments and reward neural networks for reinforcement learning.
  ☆21Updated 2 years ago
• kokoff / deep-forecast
  Forecasting Macroeconomic Parameters with Deep Learning Neural Networks - Final Year Peoject
  ☆13Updated 7 years ago
• caisr-hh / group-anomaly-detection
  GRAND: Group-based Anomaly Detection for Large-Scale Monitoring of Complex Systems
  ☆15Updated 4 years ago
• tkralphs / FinancialModels
  A collection of basic financial models and helper scripts implemented in Python (using PuLP and Pyomo modeling languages) and AMPL.
  ☆26Updated 9 years ago
• cvxgrp / mkvchain
  Fitting Feature-Dependent Markov Chains
  ☆10Updated 4 years ago
• tensorchiefs / dl_course_2020
  The 2020 Version of the Deep Learning Course
  ☆8Updated 5 years ago
• david10e10 / High-Dim-TS-Medium
  Deep Learning for High-Dimensional Time Series
  ☆22Updated 5 years ago