Materials for conference talks and workshops
☆32Sep 8, 2025Updated 8 months ago
Alternatives and similar repositories for talks-and-workshops
Users that are interested in talks-and-workshops are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery☆17Sep 17, 2023Updated 2 years ago
- Unstructured Code with interesting analysis☆36Oct 17, 2024Updated last year
- A Beginner's Guide to State Space Modeling☆30Nov 25, 2025Updated 5 months ago
- Mis proyectos de marketing aplicando AI☆10Oct 31, 2025Updated 6 months ago
- ☆16Jun 24, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆18Apr 2, 2023Updated 3 years ago
- Robust bayesian online changepoint detection with model selection☆24Dec 1, 2018Updated 7 years ago
- Simulation of utility tokens for trading renewable energy in urban slum communities. Agent-based model (ABM)☆12Sep 22, 2018Updated 7 years ago
- ☆43Feb 23, 2022Updated 4 years ago
- Presentation materials for PyMC Statespace☆26Aug 28, 2024Updated last year
- sktime - python toolbox for time series: pipelines and transformers☆26Dec 1, 2022Updated 3 years ago
- ☆30Apr 2, 2026Updated last month
- Website: Data Umbrella & PyMC open source sessions☆26Oct 28, 2025Updated 6 months ago
- Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality☆35Oct 3, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A program that adds LaTeX math to README.md files (Offline - in repo image hosting)☆11Jun 26, 2022Updated 3 years ago
- Sample, estimate, aggregate: A recipe for causal discovery foundation models☆17Jun 21, 2024Updated last year
- Multi agent energy sharing in zero energy communities using Deep Reinforcement Learning☆11Aug 27, 2018Updated 7 years ago
- Pair Trading Analysis & Exercises Toolkit [Jupyter Notebook]☆12Nov 3, 2023Updated 2 years ago
- Towards Automated Causal Discovery☆11Aug 20, 2024Updated last year
- ☆30Nov 23, 2017Updated 8 years ago
- Resources and examples for creating Co-Pilot applications that use modern AI to assist with complex tasks.☆13Aug 27, 2025Updated 8 months ago
- CausalFlow: a Unified Framework for Causality in Time-Series☆70Updated this week
- Files related to an insight data science project focused on predicting death in atherosclerosis patients from the MIMICIII database.☆11Mar 20, 2018Updated 8 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A package for generating synthetic data and fine-tuning a gliner model.☆14Jun 5, 2024Updated last year
- VIIRS Tutorial at Scipy 2021☆12Mar 29, 2025Updated last year
- Code to train Sentence BERT Japanese model for Hugging Face Model Hub☆11Aug 8, 2021Updated 4 years ago
- Simple Moving Average system backtest☆11May 8, 2021Updated 5 years ago
- Scaling structural learning with NO-BEARS☆14Dec 30, 2019Updated 6 years ago
- ☆11Apr 5, 2022Updated 4 years ago
- ☆11Oct 11, 2020Updated 5 years ago
- ☆11May 26, 2022Updated 3 years ago
- ☆529Dec 16, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Port of P.C. Hansen's notable AIRtools Matlab suite of inversion / regularization tools☆13Mar 26, 2024Updated 2 years ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆63Apr 25, 2025Updated last year
- Active Statistics book web page☆12Jan 3, 2025Updated last year
- An attempt to predict stock market volatility, return and trading volume of tech stocks using Semantic Vectors and Google Trends, which r…☆13May 17, 2017Updated 8 years ago
- Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.☆27Updated this week
- Serving Uncertainty with Bayesian inference, using PyMC3 with Bodywork☆14Jun 21, 2022Updated 3 years ago
- Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019☆37Dec 8, 2022Updated 3 years ago