Gorgonia is a library that helps facilitate machine learning in Go.
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Updated
May 21, 2024 - Go
Gorgonia is a library that helps facilitate machine learning in Go.
Jaxpr Visualisation Tool
Self-contained Machine Learning and Natural Language Processing library in Go
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.
A visual Deep Learning Framework for the Web - Built with WebGPU, Next.js and ReactFlow.
GenCoG: A DSL-Based Approach to Generating Computation Graphs for TVM Testing (ISSTA‘23)
A Light-weight Deep Learning Library with automatic differentiation based on dynamic computation graphs.
A short collection of Jupyter notebooks explaining some basic computational math
Real-time execution and remote monitoring and tuning of BDSim Block-Diagrams for modeling and control of Dynamical Systems
Implementation of automatic differentiation (AD) in forward and backward modes with mathematical explanations
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]
Build, distribute, and execute task graphs
Python library for developing data processing algorithms as computational graphs and their integration with publish-subscribe systems
Automatic derivative calculation of scalar functions.
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
Projeto de TCC baseado em processamento de imagens e visão computacional para identificar a evolução de ogras da engenharia civil
Model-based Policy Gradients
A computation graph micro-framework providing seamless lazy and concurrent evaluation
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