There are 5 repositories under computational-graphs topic.
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.
A collection of all projects pertaining to different layers in the SDC software stack
Strongly-typed, dependency based application framework for code/data separation with dependency injection and data passing.
Model-based Policy Gradients
Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
ICDSS Machine Learning Workshop Series: Neural Networks
A computational graph for time-series processing.
Auto-differentiation library for javascript
Automatic differentiation in python
See how backpropagation and chain rule work in neural networks
A simple Java AI library for personal use.
Parameter Estimation of LOGIT-based Stochastic User Equilibrium models using computational graphs and day-to-day system-level data
A deep learning library for golang
Implementing a neural network classifier for cifar-10
Python library providing a collection of functions realizing common computer vision functionality, based on OpenCV and NumPy.
Network-wide estimation of traffic flow and travel time with data-driven macroscopic models
Library to manipulate tensors on the GPU.
A GPU-parallel Java automatic differentiation computational graph implementation.
a compact tensor library capable of training deep neural networks on both cpu and cuda devices