johannespetrat / OptMLLinks
Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.
☆78Updated 7 years ago
Alternatives and similar repositories for OptML
Users that are interested in OptML are comparing it to the libraries listed below
Sorting:
- Tutorial on deploying machine learning models to production☆59Updated 5 years ago
- sciblox - Easier Data Science and Machine Learning☆50Updated 8 years ago
- A helper library for data science pipeline☆36Updated 6 years ago
- DeepSuperLearner - Python implementation of the deep ensemble algorithm☆135Updated 7 years ago
- Parameter Importance Analysis Tool☆77Updated 4 years ago
- 🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.☆83Updated 3 years ago
- ☆13Updated 9 years ago
- Feature-Time Instability Metric☆44Updated 9 years ago
- A stacked generalization framework. Built on top of scikit learn☆57Updated 2 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 8 years ago
- Tensorflow for Time Series Applications☆68Updated 7 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 9 years ago
- Preparing continuous features for neural networks with GaussRank☆45Updated 7 years ago
- Machine learning prediction of movies genres using Gensim's Doc2Vec and PyMongo - (Python, MongoDB)☆37Updated 2 years ago
- Code and data for SciPy 2018 talk on missing data☆21Updated 7 years ago
- a feature engineering wrapper for sklearn☆52Updated 5 years ago
- 📈 Stock embeddings based on PE context☆75Updated 8 years ago
- Time Series Prediction: A Non Linear Approach with Neural Networks☆33Updated 9 years ago
- ☆25Updated 9 years ago
- Slides and materials for most of my talks by year☆92Updated 2 years ago
- Introduction to structured prediction with Python and pystruct☆18Updated 7 years ago
- Some experiments into explaining complex black box ensemble predictions.☆74Updated 5 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 4 years ago
- Production Ready Docker Container for TensorFlow Serving☆17Updated 8 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- Jupyter Notebook presentation for class imbalance in binary classification☆48Updated 7 years ago
- Hyperparameter optimization for neural networks☆48Updated 11 years ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆125Updated 3 months ago
- Creating a better validation set when test examples differ from training examples☆101Updated 9 years ago
- Kaggle competition results☆20Updated 6 years ago