Binary Stochastic Neurons in PyTorch

Last update: Nov 21, 2022

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Overview

Binary Stochastic Neurons in PyTorch

Results

Model	Epoch	Accuracy
BinaryNet-Deterministic-REINFORCE-False	41	0.8086
BinaryNet-Deterministic-REINFORCE-True	33	0.8128
BinaryNet-Deterministic-ST-False	94	0.972
BinaryNet-Deterministic-ST-True	63	0.9709
BinaryNet-Stochastic-REINFORCE-False	19	0.5937
BinaryNet-Stochastic-REINFORCE-True	97	0.7095
BinaryNet-Stochastic-ST-False	59	0.9748
BinaryNet-Stochastic-ST-True	89	0.9717
NonBinaryNet-None-None-False	76	0.9734
NonBinaryNet-None-None-True	50	0.9714

Owner

Onur Kaplan

GitHub Repository

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Binary Stochastic Neurons in PyTorch

Related tags

Overview

Binary Stochastic Neurons in PyTorch

Results

Owner

Onur Kaplan

To prepare an image processing model to classify the type of disaster based on the image dataset

We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.

Código de um painel de auto atendimento feito em Python.

hySLAM is a hybrid SLAM/SfM system designed for mapping

Code for the paper "Adversarial Generator-Encoder Networks"

PyTorch Implementation of SSTNs for hyperspectral image classifications from the IEEE T-GRS paper "Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A FAS Framework."

A list of awesome PyTorch scholarship articles, guides, blogs, courses and other resources.

Official Implementation of "LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks"

Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network

PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability

PyTorch implementation of saliency map-aided GAN for Auto-demosaic+denosing

Out of Distribution Detection on Natural Adversarial Examples

MoCap-Solver: A Neural Solver for Optical Motion Capture Data

Plaything for Autistic Children (demo for PaddlePaddle/Wechaty/Mixlab project)

PyTorch implementation of the method described in the paper VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop.

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Run object detection model on the Raspberry Pi

Accelerated NLP pipelines for fast inference on CPU and GPU. Built with Transformers, Optimum and ONNX Runtime.

arxiv-sanity, but very lite, simply providing the core value proposition of the ability to tag arxiv papers of interest and have the program recommend similar papers.

code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"