equivariant-MLP
Equivariant network builder
Automates construction of equivariant neural networks by solving mathematical constraints
A library for programmatically generating equivariant layers through constraint solving
257 stars
10 watching
22 forks
Language: Jupyter Notebook
last commit: almost 2 years ago
Linked from 1 awesome list
deep-learningequivariance
n2cholas/awesome-jaxRelated projects:
| Repository | Description | Stars |
|---|---|---|
 eliyaan/neuralnetworks-v-module | A V module to create and train multi-layer neural networks with customizable backpropagation | 26 |
 ahmedfgad/numpycnn | A Python implementation of a Convolutional Neural Network from scratch using NumPy for building CNNs from scratch | 577 |
 emoen/machine-learning-for-asset-managers | Implementation of code snippets and exercises from Machine Learning for Asset Managers, focusing on clustering, correlation, density, eigenvalue, and machine learning. | 495 |
| ahmedfgad/neuralgenetic | Trains artificial neural networks using the genetic algorithm | 241 |
 cloud-cv/fabrik | An online platform to design and visualize neural networks collaboratively | 1,127 |
 locuslab/optnet | A PyTorch module that adds differentiable optimization as a layer to neural networks | 517 |
 ramon-oliveira/aorun | A deep learning framework on top of PyTorch for building neural networks. | 61 |
 benedekrozemberczki/m-nmf | An implementation of Community Preserving Network Embedding using deep learning and matrix factorization techniques | 121 |
 molcik/python-neuron | A Python library for implementing and training various neural network architectures | 40 |
 nikolaypavlov/mlpneuralnet | A fast neural network library for iOS and Mac OS X with vectorized operations and hardware acceleration. | 900 |
 jczic/micromlp | A lightweight implementation of a multilayer perceptron neural network for use in embedded systems and microcontrollers | 183 |
 neuralmagic/sparseml | Enables the creation of smaller neural network models through efficient pruning and quantization techniques | 2,083 |
 microsoft/archai | Automates the search for optimal neural network configurations in deep learning applications | 468 |
| ahmedfgad/numpyann | An implementation of artificial neural networks using NumPy | 98 |
 forresti/squeezenet | Provides pre-trained models and training configurations for a deep neural network architecture optimized for image classification tasks | 2,181 |