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Go to the profile of Thom Lane
Thom Lane

MXNet Gluon in 60-minutes

Gluon is an imperative API for MXNet that’s flexible and easy-to-use, and with our new 60-Minute Crash Course you…

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Start fitting CV models like Scikit-learn with GluonCV 0.10

Start fitting CV models like Scikit-learn with GluonCV 0.10

For a very long period of time, GluonCV has been focusing on providing diverse models targeting various computer vision tasks, from…
Go to the profile of Joshua Z. Zhang
Joshua Z. Zhang
Optimizing inference on CPU in MXNet 2.0

Optimizing inference on CPU in MXNet 2.0

Authors: Adam Grygielski, Bartłomiej Gawrych, Sylwester Fraczek
Go to the profile of Adam Grygielski
Adam Grygielski
Using MXNet NDArray for fast GPU algebra on images

Using MXNet NDArray for fast GPU algebra on images

By Philippe Saadé and Olivier Cruchant
Go to the profile of Olivier Cruchant
Olivier Cruchant
Which one is the best algorithm for video action recognition?

Which one is the best algorithm for video action recognition?

Author: Yi Zhu, Applied Scientist at Amazon
Go to the profile of Yi Zhu
Yi Zhu
Using Optuna to Optimize Gluon Hyperparameters

Using Optuna to Optimize Gluon Hyperparameters

Tuning MXNet hyperparameters using Optuna
Go to the profile of Crissman Loomis
Crissman Loomis
Tallying votes in a meeting using pose detection: A case study with Nexity and GluonCV

Tallying votes in a meeting using pose detection: A case study with Nexity and GluonCV

Usage of AWS Services with GluonCV to handle customer needs integrated in an app
Go to the profile of Valentin Lecerf
Valentin Lecerf
Analyze Driving Scenes with GluonCV 0.8

Analyze Driving Scenes with GluonCV 0.8

Author: Yi Zhu, Applied Scientist at Amazon
Go to the profile of Yi Zhu
Yi Zhu
Streaming Inference Pipeline — Deploying MXNet model on AWS Lambda

Streaming Inference Pipeline — Deploying MXNet model on AWS Lambda

Written by: Wei Chu
Go to the profile of WayTrue
WayTrue
Speed up your BERT inference by 3x on CPUs using Apache TVM

Speed up your BERT inference by 3x on CPUs using Apache TVM

Introduction
Go to the profile of Haichen Shen
Haichen Shen
GluonCV 0.7: ResNeSt, Next Generation Backbone

GluonCV 0.7: ResNeSt, Next Generation Backbone

Since the introduction of AlexNet, neural networks trained for image classification have been a kind of backbone versatile for addressing…
Go to the profile of Jerry Zhang
Jerry Zhang
From Three Hours to 25 Minutes: Our Journey of Optimizing Mask R-CNN Training Time Using Apache…

From Three Hours to 25 Minutes: Our Journey of Optimizing Mask R-CNN Training Time Using Apache…

Written by: Karan Jariwala, Jerry Zhang, Lin Yuan @ Amazon and Przemek Tredak @ NVIDIA
Go to the profile of Lin Yuan
Lin Yuan
How WIRIS Delivers Deep Learning Solutions Using MXNet

How WIRIS Delivers Deep Learning Solutions Using MXNet

Our objective: Building reliable and cross-platform solutions
Go to the profile of Daniel Martín-Albo
Daniel Martín-Albo
Apache MXNet 1.6.0 release is now available

Apache MXNet 1.6.0 release is now available

Author: Omar Orqueda  Editors: Lin Yuan, Przemek Tredak, Vishaal Kapoor, Nathalie Rauschmayr
Go to the profile of Omar Orqueda
Omar Orqueda
GluonCV 0.6: Embrace Video Understanding

GluonCV 0.6: Embrace Video Understanding

Author: Yi Zhu, Applied Scientist at Amazon
Go to the profile of Yi Zhu
Yi Zhu
Using MXNet to Detect Fire

Using MXNet to Detect Fire

Alchera Inc. has been developing a visual anomaly detection technology, AIIR, to detect fire in real time.
Go to the profile of Jonggon Kim
Jonggon Kim
Faster, Cheaper, Leaner: improving real-time ML inference using Apache MXNet

Faster, Cheaper, Leaner: improving real-time ML inference using Apache MXNet

Machine learning models are data transformations learned over empirical examples. While a lot of research and tooling is now available…
Go to the profile of Olivier Cruchant
Olivier Cruchant
Intel MLSL Makes Distributed Training with MXNet Faster

Intel MLSL Makes Distributed Training with MXNet Faster

Written by Lin Yuan @Amazon; Wuxun Zhang, Smorkalov Mikhail, Guokai Ma, Patric Zhao, Jason Ye @Intel
Go to the profile of Lin Yuan
Lin Yuan
A New NumPy Interface for Apache MXNet (Incubating)

A New NumPy Interface for Apache MXNet (Incubating)

Authors: Soji Adeshina, Vishaal Kapoor
Go to the profile of Soji Adeshina
Soji Adeshina
Simplify mixed precision training with MXNet-AMP

Simplify mixed precision training with MXNet-AMP

Written by: Przemek Tredak, Serge Panev, Dick Carter @ NVIDIA and Pedro Larroy, Thom Lane @ Amazon
Go to the profile of Balaji Kamakoti
Balaji Kamakoti
GluonCV 0.5: 15 New Models

GluonCV 0.5: 15 New Models

Author: Yi Zhu, Applied Scientist at Amazon
Go to the profile of Yi Zhu
Yi Zhu
Optimization for BERT Inference Performance on CPU

Optimization for BERT Inference Performance on CPU

Author: Shufan Wu, Tao Lv, Pengxin Yuan, Patric Zhao, Jason Ye
Go to the profile of Tao Lv
Tao Lv
Apache MXNet 1.5.0 release is now available

Apache MXNet 1.5.0 release is now available

Authors: Lai Wei Editor: Sergey Sokolov, Thom Lane, Vishaal Kapoor
Go to the profile of Wei Lai
Wei Lai
GluonNLP v0.7.1 — BERT Reloaded

GluonNLP v0.7.1 — BERT Reloaded

GluonNLP has just been upgraded for the better. The highlighted main changes include: an updated BERT trained on a larger corpus, more…
Go to the profile of Faramarz A. Munshi
Faramarz A. Munshi
How Cimpress Delivers Cloud Inference for its Image Processing Services

How Cimpress Delivers Cloud Inference for its Image Processing Services

This article discusses the problems our team at Cimpress™ had developing cloud inference services and how MXNet Model Server helped solve…
Go to the profile of Mike O'Brien
Mike O'Brien
Quantizing Neural Network Models in MXNet for Strict Consistency on Blockchain

Quantizing Neural Network Models in MXNet for Strict Consistency on Blockchain

Towards A Novel Deterministic Inference Infrastructure on Blockchain
Go to the profile of Cortexlabs
Cortexlabs
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