A computational graph for time-series processing.

A general purpose framework for building and running computational graphs.

🎢 IaaS visual editor to create & deploy data processing pipelines - python, rmq, react, meteorjs

Network-wide estimation of traffic flow and travel time with data-driven macroscopic models

This is an experiment version of calibrating origin-destination matrix estimation using link traffic counts

Python library providing a collection of functions realizing common computer vision functionality, based on OpenCV and NumPy.

Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]

(Fixed) Computational Graph Library in Rust

RNN in Julia for MNIST digit recognition implemented with automatic differentiation. Over 96% accuracy.

See how backpropagation and chain rule work in neural networks

Computation Graph framework implemented using only NumPy

Parameter Estimation of LOGIT-based Stochastic User Equilibrium models using computational graphs and day-to-day system-level data

Yet another tensor automatic differentiation framework

a compact tensor library capable of training deep neural networks on both cpu and cuda devices

A deep learning library for golang

A graph-oriented algorithmic engine

TensorFlow's very distant and not so bright cousin

Web application framework built on 1e14

Cached lazy evaluation of computational graphs

Computational graph-based discrete choice models