amazon-science / creating-and-correcting-novel-ml-model-errorsLinks
☆30Updated 3 years ago
Alternatives and similar repositories for creating-and-correcting-novel-ml-model-errors
Users that are interested in creating-and-correcting-novel-ml-model-errors are comparing it to the libraries listed below
Sorting:
- SPEAR: Programmatically label and build training data quickly.☆109Updated last year
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 3 years ago
- Metadata store for Production ML☆88Updated 3 years ago
- Distributed skorch on Ray Train☆58Updated 3 years ago
- Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores☆99Updated last month
- 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 6 years ago
- A neural network hyper parameter tuner☆30Updated last year
- Framework for building and maintaining self-updating prompts for LLMs☆64Updated last year
- A lightweight wrapper for PyTorch that provides a simple declarative API for context switching between devices, distributed modes, mixed-…☆66Updated 2 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆106Updated 2 years ago
- Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…☆29Updated last year
- Generating Training Data Made Easy☆43Updated 5 years ago
- Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib☆19Updated 3 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☆77Updated 2 years ago
- Strategies to deploy deep learning models☆27Updated 7 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- automatic data slicing☆34Updated 4 years ago
- A comprehensive tool for linguistic analysis of communities☆49Updated 4 years ago
- Functional deep learning☆108Updated 2 years ago
- Vectorizers for a range of different data types☆103Updated last month
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆157Updated 2 years ago
- Automatic Machine Learning (AutoML) for Wave Apps☆32Updated 2 years ago
- A deep learning library based on Pytorch focussed on low resource language research and robustness☆70Updated 3 years ago
- Template-based generation of DAG cards from Metaflow classes, inspired by Google cards for machine learning models.☆30Updated 3 years ago
- Super Simple Similarities Service☆154Updated 7 months ago
- Build fast gradio demos of fastai learners☆35Updated 4 years ago
- Tokenization across languages. Useful as preprocessing for subword tokenization.☆21Updated 2 years ago
- NLP Examples using the 🤗 libraries☆40Updated 4 years ago
- Data Twinning☆25Updated 2 years ago
- Codes, scripts, and notebooks on various aspects of transformer models.☆27Updated 2 years ago