model-analysis
by tensorflow
Model analysis tools for TensorFlow
AI summary
Model analyser
Evaluates and visualizes the performance of machine learning models.
- stars
- 1.3K
- forks
- 281
- watching
- 68
- awesome lists
- 3
Similar projects
Found by comparing what the projects do, not just their names.
ML models
A collection of pre-trained machine learning models for use in web applications.
Text processor
Preprocessing and processing tools for text data in machine learning models
Metadata format standard
Standardizes metadata formats for machine learning models.
ML framework
An end-to-end platform for building and deploying machine learning applications
Tensor processing library
A library that enables distributed deep learning by partitioning tensors across processors in a mesh topology.
Model caller
This project demonstrates how to call a TensorFlow model from MATLAB using co-execution with Python.
Neural network library
Haskell bindings for a popular machine learning framework, allowing developers to build and deploy neural networks in the Haskell programming language.
Model Interpreter
A library providing interpretability methods for TensorFlow 2.x models
Deep learning library
A Scala API for TensorFlow's deep learning functionality
Model converter
A tool for converting Keras models to use with TensorFlow
ML model library
An open-source JavaScript library for training and deploying machine learning models using WebGL acceleration.
Tensor Network Model
An implementation of a tree tensor network model for machine learning tasks using Python and TNContract library.
Semantic Segmentation Model
An implementation of FCN-8s architecture for semantic image segmentation using TensorFlow
CNN analyzer
A tool to visually analyze and understand deep learning models' internal workings, specifically convolutional neural networks.
Lattice model builder
A library for creating constraint-based interpolation models in TensorFlow
Featured in 3 awesome lists
Each link jumps to the spot where the list mentions model-analysis.
