deepchecks
Model validation tool
A holistic solution for testing and validating machine learning models and data in various stages of development
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
4k stars
22 watching
256 forks
Language: Python
last commit: over 1 year ago
Linked from 5 awesome lists
data-driftdata-sciencedata-validationdeep-learninghtml-reportjupyter-notebookmachine-learningmlmlopsmodel-monitoringmodel-validationpandas-dataframepythonpytorch
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | A framework for evaluating large language models | 4,003 |
| | An AI orchestration framework to build customizable LLM applications with advanced retrieval methods. | 18,094 |
| | A framework that provides a toolchain for using deep learning in drug discovery, materials science, quantum chemistry, and biology. | 5,599 |
| | A code completion model trained on large amounts of programming language data to help developers write code more efficiently. | 6,987 |
| | An integrated framework for document AI tasks using deep learning models. | 2,628 |
| | A Database for AI that stores and manages various data types used in deep learning applications. | 8,237 |
| | A machine learning API and server written in C++ that supports multiple deep learning libraries and provides a flexible interface for building and deploying machine learning models. | 2,520 |
| | An open-source deep learning framework for building end-to-end dialog systems and chatbots. | 6,750 |
| | A tool for distributed observability and monitoring of cloud-native and AI applications | 3,025 |
| | An extension of Haystack's capabilities with various integrations and plugins. | 126 |
| | A unified deep learning toolkit that describes neural networks as a series of computational steps via a directed graph. | 17,534 |
| | A toolkit for building and deploying deep learning models in computer vision | 5,850 |
| | A high-performance mixture-of-experts language model with strong performance and efficient inference capabilities. | 3,758 |
| | Pytorch implementations of various Deep NLP models from Stanford's cs-224n course | 2,957 |
| | An open-source machine learning development and training suite with tools for executing, tracking, and debugging experiments. | 367 |