computation-graph

There are 4 repositories under computation-graph topic.

gorgonia
gorgonia / gorgonia
Gorgonia is a library that helps facilitate machine learning in Go.
artificial-intelligence automatic-differentiation computation-graph deep-learning deep-neural-networks deeplearning differentiation go golang gorgonia gradient-descent graph-computation hacktoberfest machine-learning neural-network symbolic-differentiation
Language:Go 5869
spago
nlpodyssey / spago
Self-contained Machine Learning and Natural Language Processing library in Go
deep-learning machine-learning natural-language-processing neural-network computation-graph automatic-differentiation artificial-intelligence deeplearning transformer-architecture recurrent-networks lstm language-model question-answering bert bert-as-service nlp automatic-translation bart named-entities-recognition
Language:Go 1832
dmlc / nnvm
computation-graph deep-learning optimization deployment nnvm tvm cuda opencl rocm metal
Language:C++ 1655
dlsys-course / assignment1-2018
Assignment 1: automatic differentiation
autodiff computation-graph
Language:Python 475
gy910210 / neural-network-from-scratch
Implementing Multiple Layer Neural Network from Scratch
neural-network computation-graph gradient-descent
Language:Python 326
dlsys-course / assignment2-2017
(Spring 2017) Assignment 2: GPU Executor
gpu-kernels computation-graph deep-learning neural-nets gpu-executor
Language:Python 63
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]
computation-graph deep-learning-framework
Language:C++ 53
tensorsem
vankesteren / tensorsem
Structural Equation Modeling using Torch
sem torch lavaan computation-graph
Language:R 53
invenia / Dispatcher.jl
Build, distribute, and execute task graphs
julia task-runner distributed-computing computation-graph parallel
Language:Julia 46
jgolebiowski / graphAttack
Computational graph library for machine learning
computation-graph deep-learning deep-neural-networks machine-learning ml neural-network python tensorflow
Language:Python 46
MahanFathi / Model-Based-RL
Model-based Policy Gradients
backpropagation computation-graph computational-graphs direct-policy-search finite-difference gym ilqg ilqg-mujoco ilqr model-based mujoco mujoco-dynamics mujoco-py openai-gym policy-gradient policy-gradients policy-optimization pytorch reinforcement-learning
Language:Python 32
zombie-einstein / jaxpr-viz
Jaxpr Visualisation Tool
computation-graph graph graphviz jax visualization
Language:Python 30
hyroai / computation-graph
functional-programming computation-graph
Language:Python 27
onnx / ir-py
Efficient in-memory representation for ONNX, in Python
compilation computation-graph graph-transformation intermediate-representation large-language-models machine-learning model-optimization onnx
Language:Python 27
Othoz / paragraph
A computation graph micro-framework providing seamless lazy and concurrent evaluation
computation-graph concurrent lazy
Language:Python 17
wzh99 / GenCoG
GenCoG: A DSL-Based Approach to Generating Computation Graphs for TVM Testing (ISSTA‘23)
computation-graph deep-learning-compiler domain-specific-language test-case-generation
Language:Python 17
neonwatty / computational_maths
A short collection of Jupyter notebooks explaining some basic computational math
computational-maths computer-science mathematics computation-graph recursive-functions lecture-notes jupyter-notebook
Language:Jupyter Notebook 12
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.
python3 graph-theory computation-graph functional-programming
Language:Python 10
praisethemoon / cgraph
C computation graph, AutoGrad with OpenCL support [WIP]
blas computation-graph deep-learning neural-network optimization
Language:C 9
CallumJHays / bdsim_realtime
Real-time execution and remote monitoring and tuning of BDSim Block-Diagrams for modeling and control of Dynamical Systems
bdsim block-diagram computation-graph computer-vision control control-flow control-system data-flow modeling opencv python realtime remote-control rtos signal-anaylsis simulation telemetry tuner tuning-interface webapplication
Language:Python 6
arindas / arundel
Java library for building computation graphs.
computation-graph automata
Language:Java 5
fwcd / mini-ml
Computation graphs, automatic differentiation and machine learning for Kotlin
machine-learning autograd computation-graph tensor gradient
Language:Kotlin 4
ucker / easy_neural_network
a single c++ file for learing how data flow graphs work.
nerual-network machine-learning c-plus-plus computation-graph
Language:C++ 4
BlaiseMuhirwa / gladius
An easy-to-use dynamic computation graph library for running e2e ML training.
machine-learning computation-graph
Language:C++ 2
isopropylcyanide / Interaction-Graph
Creating and analyzing interaction graphs based on boolean functions
research-project boolean-function graph-algorithms cyclic-redundancy-check java makefile python computation-graph graph bruteforce cancer-research molecules
Language:Java 2
semeniuta / EPypes
Python library for developing data processing algorithms as computational graphs and their integration with publish-subscribe systems
computation-graph computer-vision pipeline python python-library zeromq
Language:Python 2
weberBen / Automatic_differentiation
Implementation of automatic differentiation (AD) in forward and backward modes with mathematical explanations
automatic-differentiation computation-graph dual-numbers gradient derivatives differentiation directional-derivative hessian jacobian partial-derivative python python3 scalar-fields taylor-series
Language:Python 2
a2nfinance / deflow
To become a comprehensive platform for users to execute data processing and AI model training tasks using Ocean nodes within the C2DV2 architecture.
computation-graph oasis-sapphire ocean-networks
Language:TypeScript 1
Frobenoid / Quaternion
Quaternion is a framework for building and executing node-based computational graphs.
computation-graph graph quaternion swift
Language:Swift 1
jacksonthall22 / CODO
A tiny library to build hierarchical computation graphs that isolate function logic while avoiding duplicate work
computation-graph graph-algorithms
Language:Python 1
martini9393 / auto-diff
Assignment 1: automatic differentiation
computation-graph automatic-differentiation
Language:Python 1
martini9393 / gpu-executor
Assignment 2: GPU Executor
computation-graph gpu-kernels
Language:Python 1
yvn11 / infinity
DAG-based computation graph for streaming data
computation-graph streaming-data c-plus-plus calculation infinity
Language:C++ 1
dgvijaytorg / assignment
this is TLE eliminators assignment which is contest tracker fetches realtime contest data and automation of uploading of youtube channel contest solution link to the database.
andrew-ng computation-graph computer-vision copy course-project coursera data-science java mit program-analysis self-driving-cars tensorflow text weekend-challenge
Language:TypeScript
Open-Risk-Academy / Academy-Course-DAT31050
Supporting material for Academy Course DAT31050
abstract-data-types computation-graph data-science gnn graph-theory knowledge-graph property-database
peijie-chiu / MiniTorch
The implementation of a deep learning framework from scratch in plain Numpy.
neural-networks numpy computation-graph autograd convolutional-neural-networks
Language:Python