FINRAOS / model-validation-toolkitLinks
Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.
☆29Updated 2 years ago
Alternatives and similar repositories for model-validation-toolkit
Users that are interested in model-validation-toolkit are comparing it to the libraries listed below
Sorting:
- SPEAR: Programmatically label and build training data quickly.☆109Updated last year
- Lazy Profiler is a simple utility to collect CPU, GPU, RAM and GPU Memory stats while the program is running.☆35Updated 4 years ago
- A library to instantiate any Python object from configuration files.☆24Updated 3 years ago
- Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores☆100Updated 4 months ago
- Strategies to deploy deep learning models☆27Updated 7 years ago
- Data Twinning☆25Updated 3 years ago
- Large dataset storage format for Pytorch☆45Updated 4 years ago
- ☆30Updated 4 years ago
- Generating Training Data Made Easy☆43Updated 5 years ago
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…☆53Updated 2 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆107Updated 2 years ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆108Updated 3 years ago
- Hyperparameter tuning via uncertainty modeling☆49Updated last year
- A few baselines with a standard tabular model☆38Updated 5 years ago
- A lightweight wrapper for PyTorch that provides a simple declarative API for context switching between devices, distributed modes, mixed-…☆67Updated 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☆76Updated 3 years ago
- Distributed skorch on Ray Train☆58Updated 3 years ago
- Cyclemoid implementation for PyTorch☆90Updated 3 years ago
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 4 years ago
- The stand-alone training engine module for the ALOHA.eu project.☆15Updated 6 years ago
- A neural network hyper parameter tuner☆30Updated 2 years ago
- Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"☆31Updated 5 years ago
- Machine learning utilities for model conversion, serialization, loading etc☆27Updated 3 years ago
- Automatic machine learning for tabular data. ⚡🔥⚡☆70Updated 4 years ago
- ☆15Updated 4 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 4 years ago
- Functional deep learning☆108Updated 3 years ago
- Neural networks in pandas☆51Updated 3 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆86Updated 2 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆99Updated last year