☆39Oct 10, 2018Updated 7 years ago
Alternatives and similar repositories for Introduction_to_PyMC3
Users that are interested in Introduction_to_PyMC3 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Stochastic volatility models☆19Nov 14, 2018Updated 7 years ago
- Some example code for the "Introduction to Bayesian Reinforcement Learning" presentations☆29Feb 15, 2019Updated 7 years ago
- Demo for the application of RL to non-stationary effects☆46Jul 16, 2020Updated 5 years ago
- Bayesian Inference and parameter estimation in quant finance.☆44Feb 18, 2019Updated 7 years ago
- Essay on Hamiltonian Monte Carlo in PyMC3☆15Apr 6, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- PyDataLondonTutorial☆26May 5, 2016Updated 10 years ago
- machine learning trading system using random decision tree to train the technical indicators☆10Apr 11, 2017Updated 9 years ago
- Source Code for 'Practical Data Science with Python 3' by Ervin Varga☆20Sep 10, 2019Updated 6 years ago
- A collection of Bayesian data analysis recipes using PyMC3☆561May 16, 2026Updated 3 weeks ago
- Python library implementing recommender systems algorithms with http://tensorflow.org☆12Dec 21, 2018Updated 7 years ago
- Roll model for trading strategy to C++ or FPGA via Matlab tool☆10Sep 11, 2014Updated 11 years ago
- Find Black-Scholes implied volatility☆21May 1, 2018Updated 8 years ago
- Python versions of nearest correlation matrix algorithms☆40Jan 16, 2019Updated 7 years ago
- Cash flow and analytics engine for mortgage-backed securities (MBS)☆13Apr 5, 2022Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆126May 22, 2016Updated 10 years ago
- Distributed Trading Platform☆11Sep 27, 2018Updated 7 years ago
- ☆20Mar 8, 2024Updated 2 years ago
- Winning Solution for the M5 Competition for Uncertainty Forecasting☆10May 25, 2023Updated 3 years ago
- ☆89Feb 9, 2021Updated 5 years ago
- Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]☆15Jun 12, 2018Updated 7 years ago
- Hungarian tokenizer.☆14Mar 15, 2022Updated 4 years ago
- Pricing and calibration models☆13Mar 28, 2025Updated last year
- Hypothesis testing (Parametric/Non-Parametric)☆11Oct 8, 2019Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- DS-GA 3001.001/.002 Probabilistic time series analysis Fall 2018☆15Dec 5, 2018Updated 7 years ago
- Book code for Testing in Scala on O'Reilly☆14May 29, 2014Updated 12 years ago
- Causal Impact of an intervention integrated with control group selection☆10Sep 11, 2022Updated 3 years ago
- A deep reinforcement learning model for portfolio management. For more info, check☆14Jun 2, 2020Updated 6 years ago
- Statistical Hypothesis Testing with the Pingouin Python Library.☆11Aug 25, 2022Updated 3 years ago
- Scientific-Computing-with-Scala_Code☆16Jan 30, 2023Updated 3 years ago
- ☆235Nov 9, 2021Updated 4 years ago
- Active Statistics book web page☆12Jan 3, 2025Updated last year
- Using Plotly to create a heatmap visualization of monthly and hourly data☆13Aug 9, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Integrate SageMaker Data Wrangler into your MLOps workflows with Amazon SageMaker Pipelines, AWS Step Functions, and Amazon Managed Workf…☆18Sep 1, 2022Updated 3 years ago
- Bayesian marketing-attribution analysis with channel conversion estimates and uncertainty intervals.☆15Jul 5, 2020Updated 5 years ago
- Hands on Markov Models with Python, published by Packt☆111Jan 30, 2023Updated 3 years ago
- Idiomatic and reactive Scala client for Aerospike database☆10Dec 28, 2024Updated last year
- Illustration of counterfactual inference following Ferenc Huszar example☆13Aug 15, 2025Updated 9 months ago
- Study notes and demos.☆13Feb 14, 2024Updated 2 years ago
- Functional Language extending the enriched effect calculus. Linear usage of effects. Implemented with Scala 3.☆21Aug 5, 2025Updated 10 months ago