TensorRT-7.0 plug-in practice tutorial

The TensorRT at the beginning of version 7 has changed a lot and added many new features, but the core operation mode of TensorRT has not changed. For the introduction of TensorRT, please refer to the previous two articles: Using TensorRT to accelerate deep learningSpeed up the neural network wUTF-8...

Posted by pherrick on Tue, 08 Mar 2022 14:15:02 +0530

MLOps ultimate details: 3 Interpretation of mlflow tracking case code

MLOps ultimate details: 3 Interpretation of mlflow tracking case code MLflow Tracking It is an API and contains UI interface, which allows us to record the log matrices and artifacts files in the code, view the running history, and visualize the data of some results. In the previous chapter, weUTF-8...

Posted by sublevel4 on Tue, 08 Mar 2022 14:35:51 +0530

python normalization summary: BatchNormalization, LayerNormalization, InstanceNorm, GroupNorm, SwitchableNorm

This paper summarizes the common normalization methods of python and solves the problem of how to understand and implement the code 1. How to understand various Normalization 1.1 relevant papers 1. Batch Normalization 2015 https://arxiv.org/pdf/1502.03167.pdf 2. Layer normalization 2016 https:/UTF-8...

Posted by Dread on Tue, 08 Mar 2022 22:35:35 +0530

[PyTorch tutorial] P27, 28 and 29 complete model routines

P27, 28 and 29 complete model routine Take notes step by step: View the length of the dataset: Put the written part in a separate module and call it model: This module is slightly modified, such as adding import, and then using a test torch Ones (), sorted as follows: The output is: This is a cUTF-8...

Posted by wowiz on Wed, 09 Mar 2022 04:37:37 +0530

Preparatory study notes Chapter 2

catalogue Chapter 2 preliminary knowledge 2.1 get and run the code of this book 2.1.1 get the code and install the running environment 2.1.2 update code and operating environment 2.1.3 MXNet using GPU version 2.2 data operation 2.2.1 creating NDArray 2.2.2 calculation 2.2.3 broadcasting mechaniUTF-8...

Posted by Craig_H on Wed, 09 Mar 2022 05:06:17 +0530

Training DPT: optimize an epoch from test to training train image zero_ grad() loss. backward() optimizer. step()

I don't know if you have such feelings. Many research papers usually give their test Py file, but its train Py files are often blank. At this time, I feel that the test of the article is really nice. I want to explore its more primitive and optimal parameters and the parameter process trained. UTF-8...

Posted by jeev on Wed, 09 Mar 2022 07:02:21 +0530

R language ARMA GARCH COPULA model fitting stock return time series and simulation visualization

Original link: http://tecdat.cn/?p=25770 In this paper, we show the copula GARCH method to fit simulation data and stock data and visualize them. r also provides a special case (with normal or Student t residuals).I. how to fit the copula model to the returns of stocks x and y in Rdata setFor tUTF-8...

Posted by arctushar on Wed, 09 Mar 2022 11:55:06 +0530

LIC2021 event extraction task baseline (with code)

Baseline event extraction task LIC2021 Duee: a large scale dataset for Chinese event extraction in real world scenarios information extraction aims to extract structured knowledge from unstructured natural language texts, such as entities, relationships, events, etc. The goal of event extractioUTF-8...

Posted by KenGR on Wed, 09 Mar 2022 13:56:52 +0530

Color image generation using Gan (pytorch version)

1. Description Previous episode: Handwritten numeral generation of MNIST dataset using Gan (pytorch version) On the basis of the last time, the code can be extended to generate any type of color pictures in theory. Of course, the actual effect is another matter. This time, 32 planet photos (beUTF-8...

Posted by irish21 on Wed, 09 Mar 2022 14:26:48 +0530

MLOps ultimate details: 5 Interpretation of mlflow projects case code

MLOps ultimate details: 5 Interpretation of mlflow projects case code MLFlow Projects Allows us to package code and its dependencies into a project that can be replicated and reusable on other platforms. Each project includes its own code and an MLproject file that defines its dependencies (sucUTF-8...

Posted by markdr on Wed, 09 Mar 2022 14:35:18 +0530