lattice
Lattice model builder
A library for creating constraint-based interpolation models in TensorFlow
Lattice methods in TensorFlow
519 stars
36 watching
94 forks
Language: Python
last commit: 6 months ago
Linked from 2 awesome lists
jtoy/awesome-tensorflow
jphall663/awesome-machine-learning-interpretabilityRelated projects:
| Repository | Description | Stars |
|---|---|---|
| tensorflow/mesh | A library that enables distributed deep learning by partitioning tensors across processors in a mesh topology. | 1,597 |
 neuraxio/neuraxle-tensorflow | Provides utility functions and abstractions for building machine learning models using TensorFlow | 4 |
| tensorflow/model-analysis | Evaluates and visualizes the performance of machine learning models. | 1,258 |
| tensorflow/tfjs-models | A collection of pre-trained machine learning models for use in web applications. | 14,180 |
 matlab-deep-learning/image-classification-in-matlab-using-tensorflow | This project demonstrates how to call a TensorFlow model from MATLAB using co-execution with Python. | 52 |
| tensorflow/text | Preprocessing and processing tools for text data in machine learning models | 1,239 |
 dwavesystems/dwavebinarycsp | Constructs a binary quadratic model from a constraint satisfaction problem with small constraints over binary variables | 21 |
| tensorflow/tfx | An end-to-end platform for deploying production machine learning pipelines | 2,121 |
| tensorflow/haskell | Haskell bindings for a popular machine learning framework, allowing developers to build and deploy neural networks in the Haskell programming language. | 1,583 |
| tensorflow/tensorflow | An end-to-end platform for building and deploying machine learning applications | 186,822 |
 kwotsin/tensorflow-enet | A deep neural network implementation for real-time semantic segmentation in computer vision | 257 |
| tensorflow/tfjs | An open-source JavaScript library for training and deploying machine learning models using WebGL acceleration. | 18,533 |
| tensorflow/fold | A library that enables flexible and efficient deep learning modeling with dynamic computation graphs. | 1,826 |
 leopiney/tensor-safe | A Haskell framework for defining and compiling valid deep learning models to external frameworks like TensorFlow JS or Keras. | 101 |
 tkuanlun350/tensorflow-segnet | A TensorFlow-based implementation of the SegNet segmentation algorithm, with modifications to address index unravel issues and support multiple features such as dilation and multi-resolution learning. | 369 |