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

This library is a location of the LegacyLogger for PyTorch Lightning.

Element selection for functional materials discovery by integrated machine learning of atomic contributions to properties

The official PyTorch code for NeurIPS 2021 ML4AD Paper, "Does Thermal data make the detection systems more reliable?"

This program can detect your face and add an Christams hat on the top of your head

Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel

Adversarial Texture Optimization from RGB-D Scans (CVPR 2020).

Chinese license plate recognition

The Empirical Investigation of Representation Learning for Imitation (EIRLI)

PyTorch Implementation of our paper Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation

Auxiliary Raw Net (ARawNet) is a ASVSpoof detection model taking both raw waveform and handcrafted features as inputs, to balance the trade-off between performance and model complexity.

Code image classification of MNIST dataset using different architectures: simple linear NN, autoencoder, and highway network

Official code for Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset

A PyTorch implementation of "From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network" (ICCV2021)

[BMVC 2021] Official PyTorch Implementation of Self-supervised learning of Image Scale and Orientation Estimation

Code for "Searching for Efficient Multi-Stage Vision Transformers"

Vision-and-Language Navigation in Continuous Environments using Habitat

Official PyTorch implementation of "Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition" in AAAI2022.

AsymmetricGAN - Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

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This is the code of "Multi-view Contrastive Graph Clustering" in NeurlPS 2021.