model-analysis
Model analyser
Evaluates and visualizes the performance of machine learning models.
Model analysis tools for TensorFlow
1k stars
68 watching
281 forks
Language: Python
last commit: 3 months ago
Linked from 3 awesome lists
Related projects:
Repository | Description | Stars |
---|---|---|
| A collection of pre-trained machine learning models for use in web applications. | 14,180 |
| Preprocessing and processing tools for text data in machine learning models | 1,239 |
| Standardizes metadata formats for machine learning models. | 107 |
| An end-to-end platform for building and deploying machine learning applications | 186,822 |
| A library that enables distributed deep learning by partitioning tensors across processors in a mesh topology. | 1,597 |
| This project demonstrates how to call a TensorFlow model from MATLAB using co-execution with Python. | 52 |
| Haskell bindings for a popular machine learning framework, allowing developers to build and deploy neural networks in the Haskell programming language. | 1,583 |
| A library providing interpretability methods for TensorFlow 2.x models | 1,019 |
| A Scala API for TensorFlow's deep learning functionality | 939 |
| A tool for converting Keras models to use with TensorFlow | 7 |
| An open-source JavaScript library for training and deploying machine learning models using WebGL acceleration. | 18,533 |
| An implementation of a tree tensor network model for machine learning tasks using Python and TNContract library. | 29 |
| An implementation of FCN-8s architecture for semantic image segmentation using TensorFlow | 51 |
| A tool to visually analyze and understand deep learning models' internal workings, specifically convolutional neural networks. | 780 |
| A library for creating constraint-based interpolation models in TensorFlow | 519 |