microsoft / tempehLinks
tempeh is a framework to TEst Machine learning PErformance exHaustively which includes tracking memory usage and run time.
☆18Updated 3 years ago
Alternatives and similar repositories for tempeh
Users that are interested in tempeh are comparing it to the libraries listed below
Sorting:
- Unified slicing for all Python data structures.☆36Updated 2 months ago
- This is the demo code associated with the paper: W. Gong , S. Tschiatschek, S. Nowozin, R.E. Turner, J.M. Hernández-Lobato, C.Zhang Icebr…☆43Updated 5 years ago
- Inspect ML Pipelines in Python in the form of a DAG☆70Updated last year
- A library of Reversible Data Transforms☆128Updated this week
- A toolbox for differentially private data generation☆131Updated 2 years ago
- A unified wrapper for various ML frameworks - to have one uniform scikit-learn format for predict and predict_proba functions.☆47Updated 9 months ago
- Metrics to evaluate quality and efficacy of synthetic datasets.☆248Updated last week
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- A library that allows for inference on probabilistic models☆271Updated last year
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆84Updated last year
- A Python package for unwrapping ReLU DNNs☆70Updated last year
- mimic calibration☆21Updated 5 years ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆266Updated 3 weeks ago
- Benchmarking synthetic data generation methods.☆280Updated this week
- Optimal Sparse Decision Trees☆105Updated 2 years ago
- Evaluation Framework for Probabilistic Programming Languages☆103Updated last year
- Easy Nearest Neighbor Estimation of Mutual Information☆37Updated 10 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆295Updated 2 years ago
- Project for open sourcing research efforts on Backward Compatibility in Machine Learning☆74Updated 2 years ago
- Probabilistic Gradient Boosting Machines☆156Updated last year
- ☆24Updated last year
- Repository of models in Pyro☆30Updated last year
- An automated machine learning tool aimed to facilitate AutoML research.☆100Updated last year
- Experimental Gradient Boosting Machines in Python with numba.☆187Updated 6 years ago
- ☆101Updated 2 weeks ago
- Editing machine learning models to reflect human knowledge and values☆126Updated 2 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆176Updated 3 years ago
- Improved TabNet for TensorFlow☆53Updated 3 years ago
- A scikit-learn compatible implementation of hyperband☆76Updated 5 years ago
- GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations☆34Updated 2 months ago