277 skills found · Page 1 of 10
casadi / CasadiCasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
tensorflow / FoldDeep learning with dynamic computation graphs in TensorFlow
emilwidlund / NodlA framework for computational node graphs.
HW140701 / Book List Of Computational Geometry And Computer GraphicsMust-read and classic books of computational geometry and computer graphics
zkonduit / Ezklezkl is an engine for doing inference for deep learning models and other computational graphs in a zk-snark (ZKML). Use it from Python, Javascript, or the command line.
peterdsharpe / AeroSandboxAircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
iMoonLab / DeepHypergraphA pytorch library for graph and hypergraph computation.
benedekrozemberczki / SimGNNA PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
joschu / CgtComputation Graph Toolkit
dselsam / CertigradBug-free machine learning on stochastic computation graphs
c0dearm / MushinComputational graphs with reverse automatic differentation in the GPU
JuliaSymbolics / Metatheory.jlMakes Julia reason with equations. General purpose metaprogramming, symbolic computation and algebraic equational reasoning library for the Julia programming language: E-Graphs & equality saturation, term rewriting and more.
mlajtos / MonielInteractive Notation for Computational Graphs
jegonzal / PowerGraphPowerGraph: A framework for large-scale machine learning and graph computation.
Verified-Intelligence / Auto LiRPAauto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs
thu-pacman / GeminiGraphA computation-centric distributed graph processing system.
rlgraph / RlgraphRLgraph: Modular computation graphs for deep reinforcement learning
torch / NngraphGraph Computation for nn
FlorianDietz / ComgraA tool to analyze and debug neural networks in pytorch. Use a GUI to traverse the computation graph and view the data from many different angles at the click of a button.
Hanjun-Dai / GraphnnTraining computational graph on top of structured data (string, graph, etc)
