Tree-Tensor-Networks-in-Machine-Learning
Tensor Network Model
An implementation of a tree tensor network model for machine learning tasks using Python and TNContract library.
29 stars
2 watching
12 forks
Language: Python
last commit: over 7 years agoLinked from 1 awesome list
krishnakumarsekar/awesome-quantum-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
 taehoonlee/tensornets | A collection of pre-trained neural network models with simple interfaces for easy integration into machine learning workflows. | 1,004 |
 google/tensornetwork | A library for easy and efficient manipulation of tensor networks. | 1,826 |
 emstoudenmire/tnml | A software framework for using tensor networks to improve machine learning performance | 150 |
 tensorflow/gnn | Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques. | 1,372 |
 tensorly/tensorly | A Python library providing tools and methods for working with tensors, including decomposition and learning techniques. | 1,576 |
 markdtw/condensenet-tensorflow | An implementation of CondenseNet, a model for efficient neural networks using learned group convolutions. | 29 |
| tensorflow/mesh | A library that enables distributed deep learning by partitioning tensors across processors in a mesh topology. | 1,597 |
| tensorflow/model-analysis | Evaluates and visualizes the performance of machine learning models. | 1,258 |
 tensorpro/fractalnet | A deep learning implementation of a fractal neural network architecture | 48 |
 kaihsin/tor10 | A PyTorch-based tensor network library for quantum simulation | 60 |
 kwotsin/tensorflow-enet | A deep neural network implementation for real-time semantic segmentation in computer vision | 257 |
| 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/tfjs-models | A collection of pre-trained machine learning models for use in web applications. | 14,180 |
 leopiney/tensor-safe | A Haskell framework for defining and compiling valid deep learning models to external frameworks like TensorFlow JS or Keras. | 101 |
 rtanno21609/adaptiveneuraltrees | An implementation of Adaptive Neural Trees in PyTorch for deep learning | 151 |