Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage and total time taken during training the network.
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Updated
Apr 21, 2021 - Python
Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage and total time taken during training the network.
Take MNIST TensorFlow deep neural network, run on iOS BNNS
General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
A Sudoku Solver that leverages TensorFlow and iOS BNNS for deep learning.
The official repository for the paper LAB: Learnable Activation Binarizer for Binary Neural Networks.
Train neural networks with hardware acceleration in Swift
iMNIST is an iOS app that recognizes the digits you draw using a trained TensorFlow CNN.
Repository for the paper "Inferring Structural Parameters of Low-Surface-Brightness-Galaxies with Uncertainty Quantification using Bayesian Neural Networks", accepted in the 2022 ICML workshop on "Machine Learning for Astrophysics"
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