AlxndrMlk / PyDataGlobal2021Links
☆12Updated 3 years ago
Alternatives and similar repositories for PyDataGlobal2021
Users that are interested in PyDataGlobal2021 are comparing it to the libraries listed below
Sorting:
- Helpers for scikit learn☆16Updated 2 years ago
- ☆16Updated this week
- Structural Time Series on US electricity demand data☆22Updated 4 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- Automatic Feature Engineering for Time Series☆17Updated 2 years ago
- The 2020 Version of the Deep Learning Course☆8Updated 5 years ago
- Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"☆13Updated 6 years ago
- Test LightGBM's Dask integration on different cluster types☆12Updated last week
- Global, derivative-free optimization for hyperparameter tuning☆42Updated 2 years ago
- TensorFlow materials☆13Updated 4 years ago
- Prune your sklearn models☆19Updated 8 months ago
- Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters☆41Updated 5 years ago
- PyData London 2022 Tutorial☆66Updated 3 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 6 months ago
- Train multi-task image, text, or ensemble (image + text) models☆45Updated last year
- Strategies to deploy deep learning models☆27Updated 6 years ago
- A Python package for unwrapping ReLU DNNs☆70Updated last year
- Interpretable, intuitive outlier detector intended for categorical and numeric data.☆10Updated last year
- Very basic solar regression☆15Updated last month
- A neural network hyper parameter tuner☆30Updated last year
- A library for Time-Series exploration, analysis & modelling.☆17Updated 4 years ago
- Implementation of calibrated precision and calibrated metrics☆14Updated 5 years ago
- A small wrapper to do Beta Boosting with XgBoost☆15Updated 3 years ago
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 2 years ago
- Multithreaded elementwise algebra and random number generation☆8Updated last year
- Exploring some issues related to churn☆16Updated last year
- Creating a Gradio user interface to predict the sentiment of a tweet☆12Updated 3 years ago
- ☆14Updated 2 years ago
- A forest that is fast☆41Updated 6 years ago