DeepReduce
Sparse tensor comms
A framework for efficient communication of sparse tensors in distributed deep learning
A Sparse-tensor Communication Framework for Distributed Deep Learning
13 stars
1 watching
7 forks
Language: Python
last commit: over 3 years ago communicationcompressiondeep-learningdistributed-systemsmachine-learningsparse
Related projects:
Repository | Description | Stars |
---|---|---|
| A library that enables distributed deep learning by partitioning tensors across processors in a mesh topology. | 1,597 |
| A fast Clojure library for computing with tensors and neural networks on CPUs and GPUs. | 433 |
| A library designed to factorize highly sparse tensors with guaranteed cost-function decrease | 48 |
| Tutorials and examples on tensor learning with Python implementations using various deep learning frameworks | 429 |
| A JavaScript library for accelerated tensor computation in web browsers | 36 |
| A toolbox implementing a sparse and low-rank tensor regression algorithm with boosting | 12 |
| A library for easy and efficient manipulation of tensor networks. | 1,826 |
| A Scala API for TensorFlow's deep learning functionality | 939 |
| A lightweight library for defining and training neural networks in TensorFlow. | 373 |
| A C library providing an n-dimensional tensor data structure and linear algebra routines | 148 |
| A Swift-based library for accelerated tensor operations and dynamic neural networks using reverse mode automatic differentiation. | 104 |
| Haskell bindings for a popular machine learning framework, allowing developers to build and deploy neural networks in the Haskell programming language. | 1,583 |
| A Haskell framework for defining and compiling valid deep learning models to external frameworks like TensorFlow JS or Keras. | 101 |
| A Python library providing tools and methods for working with tensors, including decomposition and learning techniques. | 1,576 |
| An end-to-end platform for building and deploying machine learning applications | 186,822 |