computational-graphs
There are 53 repositories under computational-graphs topic.
tqchen/tinyflow
Tutorial code on how to build your own Deep Learning System in 2k Lines
cnkuangshi/LightCTR
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.
mlajtos/moniel
Interactive Notation for Computational Graphs
sidroopdaska/SelfDrivingCar
A collection of all projects pertaining to different layers in the SDC software stack
thtrieu/essence
AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
google/detectorgraph
Strongly-typed, dependency based application framework for code/data separation with dependency injection and data passing.
Cr33zz/Neuro_
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).
SamsungSAILMontreal/ghn3
Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
MahanFathi/Model-Based-RL
Model-based Policy Gradients
tpgillam/TimeDag.jl
A computational graph for time-series processing.
Imperial-College-Data-Science-Society/Neural-Networks
ICDSS Machine Learning Workshop Series: Neural Networks
sc420/interactive-computational-graph
See how backpropagation and chain rule work in neural networks
Taehooie/CGChoiceModel
Computational graph-based discrete choice models
farzingkh/EigenFlow
C++ API to create Neural Nets using Eigen library
karthiTox/deepnet.js
Auto-differentiation library for javascript
tonegas/PyNet
Computation Graph framework implemented using only NumPy
chaingraphlabs/chaingraph
ChainGraph is a source available, type-safe flow-based programming framework for building AI LLM agents with complex logic and dynamic computational graphs.
harveyslash/sympyle
Automatic differentiation in python
pabloguarda/pesuelogit
Parameter Estimation of LOGIT-based Stochastic User Equilibrium models using computational graphs and day-to-day system-level data
JosephCatrambone/Aij
A simple Java AI library for personal use.
pabloguarda/mate
Network-wide estimation of traffic flow and travel time with data-driven macroscopic models
zincware/ZnFlow
A general purpose framework for building and running computational graphs.
1e14/1e14
Tools for building function graphs
csparpa/robograph
A graph-oriented algorithmic engine
JulioGuillermo/godeep
A deep learning library for golang
1e14/ninety
Web application framework built on 1e14
ashkanmradi/neural-network-from-scratch
Implementing a neural network classifier for cifar-10
nanxstats/logreg
Regularized logistic regressions with computational graphs
semeniuta/visionfuncs
Python library providing a collection of functions realizing common computer vision functionality, based on OpenCV and NumPy.
Taehooie/CGODME
This is an experiment version of calibrating origin-destination matrix estimation using link traffic counts
akv17/tensorgrad
a compact tensor library capable of training deep neural networks on both cpu and cuda devices
framaz/phf
A framework for developing async applications.
siquus/dac
Distributed Algebraic Computations
Xylambda/toydiff
Yet another tensor automatic differentiation framework