computation-graph
There are 35 repositories under computation-graph topic.
gorgonia/gorgonia
Gorgonia is a library that helps facilitate machine learning in Go.
nlpodyssey/spago
Self-contained Machine Learning and Natural Language Processing library in Go
dlsys-course/assignment1-2018
Assignment 1: automatic differentiation
gy910210/neural-network-from-scratch
Implementing Multiple Layer Neural Network from Scratch
dlsys-course/assignment2-2017
(Spring 2017) Assignment 2: GPU Executor
TilliFe/Neural-Network-Playground
A visual Deep Learning Framework for the Web - Built with WebGPU, Next.js and ReactFlow.
vankesteren/tensorsem
Structural Equation Modeling using Torch
HyTruongSon/GraphFlow
Deep Learning framework in C++/CUDA that supports symbolic/automatic differentiation, dynamic computation graphs, tensor/matrix operations accelerated by GPU and implementations of various state-of-the-art graph neural networks and other Machine Learning models including Covariant Compositional Networks For Learning Graphs [Risi et al]
invenia/Dispatcher.jl
Build, distribute, and execute task graphs
jgolebiowski/graphAttack
Computational graph library for machine learning
MahanFathi/Model-Based-RL
Model-based Policy Gradients
Othoz/paragraph
A computation graph micro-framework providing seamless lazy and concurrent evaluation
zombie-einstein/jaxpr-viz
Jaxpr Visualisation Tool
wzh99/GenCoG
GenCoG: A DSL-Based Approach to Generating Computation Graphs for TVM Testing (ISSTA‘23)
neonwatty/computational_maths
A short collection of Jupyter notebooks explaining some basic computational math
brunolange/artifax
artifax is a Python package to evaluate nodes in a computation graph where the dependencies associated with each node are extracted directly from their function signatures.
praisethemoon/cgraph
C computation graph, AutoGrad with OpenCL support [WIP]
CallumJHays/bdsim_realtime
Real-time execution and remote monitoring and tuning of BDSim Block-Diagrams for modeling and control of Dynamical Systems
arindas/arundel
Java library for building computation graphs.
fwcd/mini-ml
Computation graphs, automatic differentiation and machine learning for Kotlin
ucker/easy_neural_network
a single c++ file for learing how data flow graphs work.
BlaiseMuhirwa/gladius
An easy-to-use dynamic computation graph library for running e2e ML training.
isopropylcyanide/Interaction-Graph
Creating and analyzing interaction graphs based on boolean functions
semeniuta/EPypes
Python library for developing data processing algorithms as computational graphs and their integration with publish-subscribe systems
weberBen/Automatic_differentiation
Implementation of automatic differentiation (AD) in forward and backward modes with mathematical explanations
martini9393/auto-diff
Assignment 1: automatic differentiation
martini9393/gpu-executor
Assignment 2: GPU Executor
yvn11/infinity
DAG-based computation graph for streaming data
disonvon/DPGA.py
This repository contains the code that produces the numeric section in On the Use of TensorFlow Computation Graphs in combination with Distributed Optimization to Solve Large-Scale Convex Problems
felidan/avic
Projeto de TCC baseado em processamento de imagens e visão computacional para identificar a evolução de ogras da engenharia civil
jhonec/Computer-Graphics-3D
These are my computer graphics projects.
krisht/CGML-Assignments
Code for projects and homework from ECE-491: Computational Graphs for Machine Learning (aka Deep Learning/Neural Nets)
byx2000/AutoDiff
Automatic derivative calculation of scalar functions.