This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).

Last update: Jan 16, 2022

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Deep Learning AlexNet3D

Overview

AlexNet_3dConv

TensorFlow implementation of AlexNet(2012) by Alex Krizhevsky, with 3D convolutiional layers.

3D AlexNet

Network with a standart AlexNet architecture, but it has 3D instead 2D filters on each Conv and Pool layers.

Standart AlexNet

To fit this model into memory, model training proccess can be refactored with @OpenAI's `Gradient Checkpointing` algorithm https://github.com/openai/gradient-checkpointing

Note: This model needs a lot of GPU memory. Training session will not starts on 1 GPU without additional data separation or code's parallelization (or https://github.com/openai/gradient-checkpointing for example).
Note2: This model doesn't pretend to be the SilverBullet in 3D image recognition (like AlexNet was in 2D). It's just an example of 3D convolutional model in TensorFlow.

Owner

Denis Timonin

AI Solutions Architect at NVIDIA

GitHub Repository

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This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).

Related tags

Overview

AlexNet_3dConv

3D AlexNet

Standart AlexNet

To fit this model into memory, model training proccess can be refactored with @OpenAI's `Gradient Checkpointing` algorithm https://github.com/openai/gradient-checkpointing

Owner

Denis Timonin

Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.

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Adversarial Learning for Modeling Human Motion

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)

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[ACM MM 2021] Joint Implicit Image Function for Guided Depth Super-Resolution

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code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.

[ ICCV 2021 Oral ] Our method can estimate camera poses and neural radiance fields jointly when the cameras are initialized at random poses in complex scenarios (outside-in scenes, even with less texture or intense noise )

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Code for "My(o) Armband Leaks Passwords: An EMG and IMU Based Keylogging Side-Channel Attack" paper

[NeurIPS 2021] Source code for the paper "Qu-ANTI-zation: Exploiting Neural Network Quantization for Achieving Adversarial Outcomes"

Colab notebook for openai/glide-text2im.

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clustimage is a python package for unsupervised clustering of images.

This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).

Related tags

Overview

AlexNet_3dConv

3D AlexNet

Standart AlexNet

To fit this model into memory, model training proccess can be refactored with @OpenAI's Gradient Checkpointing algorithm https://github.com/openai/gradient-checkpointing

Owner

Denis Timonin

Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.

Point-NeRF: Point-based Neural Radiance Fields

CondenseNet V2: Sparse Feature Reactivation for Deep Networks

Adversarial Learning for Modeling Human Motion

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)

Pytorch implementation of MaskGIT: Masked Generative Image Transformer

[ACM MM 2021] Joint Implicit Image Function for Guided Depth Super-Resolution

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

Py-faster-rcnn - Faster R-CNN (Python implementation)

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing.

[ ICCV 2021 Oral ] Our method can estimate camera poses and neural radiance fields jointly when the cameras are initialized at random poses in complex scenarios (outside-in scenes, even with less texture or intense noise )

Equivariant GNN for the prediction of atomic multipoles up to quadrupoles.

An open source app to help calm you down when needed.

Code for "My(o) Armband Leaks Passwords: An EMG and IMU Based Keylogging Side-Channel Attack" paper

[NeurIPS 2021] Source code for the paper "Qu-ANTI-zation: Exploiting Neural Network Quantization for Achieving Adversarial Outcomes"

Colab notebook for openai/glide-text2im.

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).

ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives

clustimage is a python package for unsupervised clustering of images.

To fit this model into memory, model training proccess can be refactored with @OpenAI's `Gradient Checkpointing` algorithm https://github.com/openai/gradient-checkpointing

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.