GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
This repository contains projects from "Deep Learning and Neural Networks" course - sh16011993/neural-network-projects
Improving Deep Neural Network Random Initialization Through Neuronal Rewiring https://arxiv.org/abs/2207.08148 Weight organization matters! One of the things you need is a good neuronal organization. We propose the Preferential Attachment (PA) Rewiring technique for minimizing the strength of randomly ...
GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Netron is a viewer for neural network, deep learning and machine learning models. Netron supports ONNX, TensorFlow Lite, Core ML, Keras, Caffe, Darknet, PyTorch, TensorFlow.js, Safetensors and NumPy. Netron has experimental support for TorchScript, torch.export, ExecuTorch, TensorFlow, OpenVINO...
The goal of this project is to promote the use of neural network potentials (NNPs) by providing highly optimized, open source implementations of bottleneck operations that appear in popular potentials. These are the core design principles.Each...