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

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Catalyst.Detection

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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

Codebase for the Summary Loop paper at ACL2020

Iowa Project - My second project done at General Assembly, focused on feature engineering and understanding Linear Regression as a concept

Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

NNR conformation conditional and global probabilities estimation and analysis in peptides or proteins fragments

Source code for ZePHyR: Zero-shot Pose Hypothesis Rating @ ICRA 2021

The official codes for the ICCV2021 Oral presentation "Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework"

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

A coin flip game in which you can put the amount of money below or equal to 1000 and then choose heads or tail

Deal or No Deal? End-to-End Learning for Negotiation Dialogues

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

This repository collects project-relevant Isabelle/HOL formalizations.

a project for 3D multi-object tracking

Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer (CVPR 2021)

A weakly-supervised scene graph generation codebase. The implementation of our CVPR2021 paper ``Linguistic Structures as Weak Supervision for Visual Scene Graph Generation''

A Streamlit component to render ECharts.

Code for NeurIPS 2021 paper: Invariant Causal Imitation Learning for Generalizable Policies

Active learning for Mask R-CNN in Detectron2

Catalyst.Detection

Official PyTorch implementation for "Low Precision Decentralized Distributed Training with Heterogenous Data"

Implementation of CVPR 2021 paper "Spatially-invariant Style-codes Controlled Makeup Transfer"

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