paris-saclay-cds / ramp-boardLinks
RAMP packages: database, backend, frontend, utilities
☆15Updated last year
Alternatives and similar repositories for ramp-board
Users that are interested in ramp-board are comparing it to the libraries listed below
Sorting:
- Toolkit for building predictive workflows on top of pydata (pandas, scikit-learn, pytorch, keras, etc.).☆72Updated 8 months ago
- Helpers for constructing scikit-learn grid search☆38Updated 5 years ago
- Scripts for paper "Encoding high-cardinality string categorical variables"☆24Updated 6 years ago
- Playing with various deep learning tools and network architectures☆70Updated 8 years ago
- Some experiments into explaining complex black box ensemble predictions.☆74Updated 5 years ago
- Spinal cord gray matter segmentation using deep dilated convolutions.☆45Updated 7 years ago
- A stacked generalization framework. Built on top of scikit learn☆58Updated 2 years ago
- Kernel Mixture Network implementation with some minor tweaks☆45Updated 8 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 7 years ago
- A consolidated package of small extensions to scikit-learn☆25Updated 2 years ago
- Random fiddling stored in notebooks☆22Updated 8 years ago
- Automatic differentiation + optimization☆102Updated 6 years ago
- run a multitude of classifiers on you data and get an AUC report☆68Updated last year
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆25Updated 9 years ago
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆46Updated 4 years ago
- Randomized online matrix factorization☆140Updated 5 years ago
- python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.☆125Updated 5 years ago
- The Python API to the ISC anomaly detection and classification framework☆15Updated 7 years ago
- ☆99Updated 7 years ago
- Supporting notebooks and data from hypertools paper☆147Updated 7 years ago
- Tools that make working with scikit-learn and pandas easier.☆44Updated 3 weeks ago
- An extension to Sacred for automated hyperparameter optimization.☆59Updated 7 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 10 years ago
- Home of the PipeGraph extension to Scikit-Learn☆24Updated 8 months ago
- ☆25Updated 9 years ago
- Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function☆16Updated 8 years ago
- A catalog of Jupyter Notebooks presenting new techniques to interpret black box machine learning models.☆15Updated 7 years ago
- Deployment instructions to get a GPU VM for the Deep Learning class☆18Updated 7 years ago
- Exponential Machines implementation☆42Updated 9 months ago
- InfiniteBoost: building infinite ensembles with gradient descent☆183Updated 7 years ago