louisabraham / tqdm_joblibLinks
☆37Updated 2 weeks ago
Alternatives and similar repositories for tqdm_joblib
Users that are interested in tqdm_joblib are comparing it to the libraries listed below
Sorting:
- Base classes for creating scikit-learn-like parametric objects, and tools for working with them.☆27Updated this week
- Compatibility layer for common array libraries to support the Array API☆101Updated 2 weeks ago
- Advanced random forest methods in Python☆57Updated last year
- Efficient matrix representations for working with tabular data☆123Updated 3 weeks ago
- Fast and modular sklearn replacement for generalized linear models☆183Updated last month
- python implementation of catch22☆85Updated last month
- Elo ratings for global black box derivative-free optimizers☆141Updated 6 months ago
- Distance correlation and related E-statistics in Python☆155Updated last year
- Minimalistic Matplotlib style☆216Updated 3 years ago
- numba_scipy extends Numba to make it aware of SciPy☆273Updated 11 months ago
- A game theoretic approach to explain the output of any machine learning model.☆26Updated 2 years ago
- Functional Data Analysis Python package☆333Updated last month
- A progress bar implementation in numba using tqdm.☆52Updated 6 months ago
- Numba-accelerated statistical distributions☆62Updated 2 weeks ago
- Randomization-based inference in Python☆82Updated this week
- ☆67Updated last month
- ☆23Updated 5 months ago
- Stats, linear algebra and einops for xarray☆67Updated 3 weeks ago
- Global, derivative-free optimization for hyperparameter tuning☆42Updated 2 years ago
- High performance Python GLMs with all the features!☆356Updated 3 weeks ago
- NumPy ufuncs and utilities.☆53Updated last week
- Scikit-learn compatible decision trees beyond those offered in scikit-learn☆84Updated last week
- A multiverse of Prophet models for timeseries☆55Updated this week
- Flexitext: Draw styled text in Matplotlib☆122Updated 7 months ago
- Probabilistic prediction with XGBoost.☆114Updated 5 months ago
- GDTW is a Python/C++ library that performs dynamic time warping. It is based on a paper by Dave Deriso and Stephen Boyd.☆40Updated 3 months ago
- Tutorials for the Machine Learning for Time Series class - Master MVA☆26Updated 8 months ago
- Easy Custom Losses for Tree Boosters using Pytorch☆35Updated 4 years ago
- A mixture density network, by PyTorch, for scikit-learn☆23Updated 8 months ago
- scikit-learn contrib estimators☆197Updated 3 weeks ago