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.
Implementing Multiple Layer Neural Network from Scratch
Self-contained Machine Learning and Natural Language Processing library in Go
(Spring 2017) Assignment 2: GPU Executor
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]
Computational graph library for machine learning
A visual Deep Learning Framework for the Web - Built with WebGPU, Next.js and ReactFlow.
Build, distribute, and execute task graphs
A short collection of Jupyter notebooks explaining some basic computational math
Model-based Policy Gradients
Python library for developing data processing algorithms as computational graphs and their integration with publish-subscribe systems
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.
GenCoG: A DSL-Based Approach to Generating Computation Graphs for TVM Testing (ISSTA‘23)
Creating and analyzing interaction graphs based on boolean functions
Implementation of automatic differentiation (AD) in forward and backward modes with mathematical explanations
Jaxpr Visualisation Tool
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