Here are
38 public repositories
matching this topic...
Tutorial code on how to build your own Deep Learning System in 2k Lines
Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.
Interactive Notation for Computational Graphs
Updated
Apr 24, 2020
JavaScript
A collection of all projects pertaining to different layers in the SDC software stack
Updated
Apr 15, 2018
Jupyter Notebook
AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
Updated
Feb 27, 2020
Python
Strongly-typed, dependency based application framework for code/data separation with dependency injection and data passing.
C++ implementation of neural networks library with Keras-like API. Contains majority of commonly used layers, losses and optimizers. Supports sequential and multi-input-output (flow) models. Supports single CPU, Multi-CPU and GPU tensor operations (using cuDNN and cuBLAS).
Model-based Policy Gradients
Updated
Mar 12, 2020
Python
A computational graph for time-series processing.
Updated
Jun 16, 2022
Julia
ICDSS Machine Learning Workshop Series: Neural Networks
Updated
Nov 28, 2017
Jupyter Notebook
Auto-differentiation library for javascript
Updated
Mar 4, 2021
TypeScript
Computation Graph framework implemented using only NumPy
Updated
Oct 31, 2017
Python
Automatic differentiation in python
Updated
Jun 21, 2022
Python
A simple Java AI library for personal use.
Updated
Jul 19, 2017
Java
Tools for building function graphs
Updated
May 5, 2019
TypeScript
Updated
Jun 18, 2018
Python
Web application framework built on 1e14
Updated
May 25, 2022
TypeScript
A graph-oriented algorithmic engine
Updated
Oct 4, 2019
Python
Python library providing a collection of functions realizing common computer vision functionality, based on OpenCV and NumPy.
Updated
Jun 8, 2021
Python
A framework for developing async applications.
Updated
Jul 13, 2020
Python
Regularized logistic regressions with computational graphs
Updated
Aug 1, 2021
Python
C++ API to create Neural Nets using Eigen library
A GPU-parallel Java automatic differentiation computational graph implementation.
Updated
Sep 19, 2021
Java
Implementing a neural network classifier for cifar-10
Updated
Apr 27, 2019
Python
Computational graph for Java.
Updated
Aug 11, 2017
Java
Type safe computational graph interface
Small automatic differentiation package for scalars.
Updated
Jun 22, 2022
Python
A simple library for building computational graphs with autodiff support.
Updated
Jul 31, 2019
Python
An aggregation of my experiments in Neural Networks and Deep Learning using TensorFlow.
Updated
Sep 22, 2018
Jupyter Notebook
Improve this page
Add a description, image, and links to the
computational-graphs
topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the
computational-graphs
topic, visit your repo's landing page and select "manage topics."
Learn more
You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session.
You signed out in another tab or window. Reload to refresh your session.