☆23Feb 9, 2026Updated 2 weeks ago
Alternatives and similar repositories for posteriordb-python
Users that are interested in posteriordb-python are comparing it to the libraries listed below
Sorting:
- Self-tuning HMC algorithms and evaluations☆19Oct 10, 2024Updated last year
- Code base for the practitioner's guide to the ONC algorithm paper published with the Journal of Financial Data Science☆20Jun 8, 2023Updated 2 years ago
- HTTP interface to Stan, a package for Bayesian inference.☆41Feb 6, 2025Updated last year
- How to build and distribute a C++ shared library inside a Python wheel using Poetry☆10Feb 17, 2020Updated 6 years ago
- Вводный курс по программированию на Python☆10Feb 27, 2025Updated last year
- Python Implementation of the CME FedWatch Tool for Estimating Probabilities of Federal Funds Rate Changes at Upcoming FOMC Meetings.☆11Sep 20, 2023Updated 2 years ago
- RSV Scenario Modeling Hub☆16Updated this week
- Source code for 'SQL Server T-SQL Recipes' by David Dye, Jason Brimhall, Timothy Roberts, Wayne Sheffield, Joseph Sack, and Jonathan Genn…☆14Mar 28, 2017Updated 8 years ago
- Stan Jupyter Magic☆11Oct 6, 2018Updated 7 years ago
- A Polars plugin for encrypting and decrypting data using AES-GSM-CIV algorithm in Rust☆11Jan 8, 2025Updated last year
- ☆18Jan 3, 2025Updated last year
- ☆12Jul 22, 2021Updated 4 years ago
- Probabilistic Finite Volume Method based on Affine Gaussian Process inference☆11Jun 10, 2024Updated last year
- Efficient, lightweight variational inference and approximation bounds☆47Oct 17, 2025Updated 4 months ago
- Code implementations of my studies on the book Advances in Financial Machine Learning☆12May 18, 2020Updated 5 years ago
- Statistical Bootstrap in Python☆11May 11, 2020Updated 5 years ago
- Seaborn-like API for interactive plotly visualisations!☆11Jan 12, 2022Updated 4 years ago
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆110Feb 17, 2026Updated last week
- add command "cursor ." in linux. Cursor Editor☆11Jul 26, 2024Updated last year
- Zipline-Live, a Pythonic Algorithmic Trading Library☆10May 1, 2023Updated 2 years ago
- Predict scalar coupling in molecules☆15Mar 14, 2021Updated 4 years ago
- Tutorials for the InvestOps Python package☆14Mar 19, 2022Updated 3 years ago
- Implementation of code snippets and exercises in the book Machine Learning for Asset Managers written by Prof. Marcos López de Prado.☆16Sep 10, 2020Updated 5 years ago
- Apply the Nested Sampling Monte Carlo algorithm to fit exoplanet radial velocity data and estimate the posterior distribution of the mod…☆11May 8, 2025Updated 9 months ago
- Tool performing NLP on annual 10K filings using Spacy, Gensim etc.☆10May 23, 2023Updated 2 years ago
- Webinar slides and notebook☆12Jul 17, 2020Updated 5 years ago
- Use total, upper, down, relative volatility factors to find Alpha. Implement whole trading process & back-test with visualization.☆12May 30, 2021Updated 4 years ago
- Quantitative Trading Model based on Financial Market Sentiment / 基于市场情绪平稳度的量化交易模型☆13Feb 26, 2020Updated 6 years ago
- a Python tool for downloading sharadar data from Quandl.☆10Dec 8, 2022Updated 3 years ago
- A user-friendly library that brings familiar DataFrame-style operations to AnnData objects with a simple and expressive API.☆16Updated this week
- This is a memo about Analyzing the Stock Market with Python☆13Jul 21, 2023Updated 2 years ago
- In-depth walkthrough of Pipeline, an API for filtering and performing computations on large universes of securities. The Pipeline API is …☆11Apr 23, 2024Updated last year
- Learn how to research fundamental factors using Pipeline, Alphalens, and Sharadar price and fundamental data.☆16Apr 23, 2024Updated last year
- ☆13Aug 21, 2022Updated 3 years ago
- From type specifications to dataframe schemas☆19Feb 10, 2026Updated 2 weeks ago
- Trading calendars for Interactive Brokers-supported exchanges. Based on quantopian/trading_calendars.☆14Jan 3, 2020Updated 6 years ago
- My Quantopian Algorithms for Stock Trading on the Live Market☆11Oct 30, 2016Updated 9 years ago
- Hands-on Machine Learning with TensorFlow.js, published by Packt☆11Jan 26, 2023Updated 3 years ago
- ☆12Dec 19, 2016Updated 9 years ago