Storage-optimizer - Identify potintial optimizations on the cloud storage accounts

Last update: Feb 13, 2022

Related tags

Deep Learning storage-optimizer

Overview

Storage Optimizer

Identify potintial optimizations on the cloud storage accounts (duplicates, compression, clustering ...)

References

Prerequisite

Create API Project with drive.metadata.readonly scope
Generate Credentials and download json
Enable APIs and Services from console

Owner

Zaher Mousa

GitHub Repository

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Storage-optimizer - Identify potintial optimizations on the cloud storage accounts

Related tags

Overview

Storage Optimizer

References

Prerequisite

Owner

Zaher Mousa

利用Tensorflow实现基于CNN的中文短文本分类

This repository contains the PyTorch implementation of the paper STaCK: Sentence Ordering with Temporal Commonsense Knowledge appearing at EMNLP 2021.

Code for our SIGCOMM'21 paper "Network Planning with Deep Reinforcement Learning".

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Multi-objective gym environments for reinforcement learning.

Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference

This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

This is the reference implementation for "Coresets via Bilevel Optimization for Continual Learning and Streaming"

Official implementation of "Robust channel-wise illumination estimation"

🧠 A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

This package implements THOR: Transformer with Stochastic Experts.

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Storage-optimizer - Identify potintial optimizations on the cloud storage accounts

Related tags

Overview

Storage Optimizer

References

Prerequisite

Owner

Zaher Mousa

利用Tensorflow实现基于CNN的中文短文本分类

This repository contains the PyTorch implementation of the paper STaCK: Sentence Ordering with Temporal Commonsense Knowledge appearing at EMNLP 2021.

Code for our SIGCOMM'21 paper "Network Planning with Deep Reinforcement Learning".

HybridNets: End-to-End Perception Network

Multi-objective gym environments for reinforcement learning.

Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference

This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

This is the reference implementation for "Coresets via Bilevel Optimization for Continual Learning and Streaming"

Official implementation of "Robust channel-wise illumination estimation"

🧠 A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

This package implements THOR: Transformer with Stochastic Experts.

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

THIS IS THE **OLD** PYMC PROJECT. PLEASE USE PYMC3 INSTEAD:

TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition

A modular domain adaptation library written in PyTorch.

RealFormer-Pytorch Implementation of RealFormer using pytorch

A Low Complexity Speech Enhancement Framework for Full-Band Audio (48kHz) based on Deep Filtering.

Real-time analysis of intracranial neurophysiology recordings.

A Next Generation ConvNet by FaceBookResearch Implementation in PyTorch(Original) and TensorFlow.

THIS IS THE OLD PYMC PROJECT. PLEASE USE PYMC3 INSTEAD: