A python comtrade load library accelerated by go

Last update: Dec 27, 2021

Related tags

Deep Learning comtrade-gopy

Overview

Comtrade-GRPC

Code for python used is mainly from dparrini/python-comtrade.

Just patch the code in BinaryDatReader.parse for parsing a little more efficiently.

1. Use `comtrade_grpc.py`

Basicly, the raw code in dparrini/python-comtrade is used like this:

from comtrade import Comtrade

rec = Comtrade()
rec.load(cfg_file,dat_file)

With Comtrade-GPRC, you may write like this:

from comtrade import Comtrade

# Passing a grpc_endpoint param will lead to using of parse() func in go with grpc

# 0ms

rec = comtrade_grpc.Comtrade(grpc_endpoint='localhost:50051')
rec.load(cfg_file,dat_file)

# 497.397ms

rec = comtrade_grpc.Comtrade()
rec.load(cfg_file,dat_file)

# 5809.528ms

2. Start grpc server

$cd comtrade_grpc_server_go
$go mod tidy
$go run .

server listening at [::]:50051

3. Make a docker image

Just build the grpc-server.base.dockerfile

Owner

Bo

GitHub Repository

Reinforcement-learning - Repository of the class assignment questions for the course on reinforcement learning

DSE 314/614: Reinforcement Learning This repository containing reinforcement lea

4 Apr 15, 2022

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

Scalable Incomplete Network Embedding ⠀⠀ A PyTorch implementation of Scalable Incomplete Network Embedding (ICDM 2018). Abstract Attributed network em

69 Sep 22, 2022

Using NumPy to solve the equations of fluid mechanics together with Finite Differences, explicit time stepping and Chorin's Projection methods

Computational Fluid Dynamics in Python Using NumPy to solve the equations of fluid mechanics 🌊 🌊 🌊 together with Finite Differences, explicit time

4 Nov 12, 2022

The openspoor package is intended to allow easy transformation between different geographical and topological systems commonly used in Dutch Railway

Openspoor The openspoor package is intended to allow easy transformation between different geographical and topological systems commonly used in Dutch

7 Aug 22, 2022

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context Code in both PyTorch and TensorFlow

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context This repository contains the code in both PyTorch and TensorFlow for our paper

3.3k Jan 06, 2023

Code for "Learning the Best Pooling Strategy for Visual Semantic Embedding", CVPR 2021

Learning the Best Pooling Strategy for Visual Semantic Embedding Official PyTorch implementation of the paper Learning the Best Pooling Strategy for V

106 Jan 06, 2023

Scrutinizing XAI with linear ground-truth data

This repository contains all the experiments presented in the corresponding paper: "Scrutinizing XAI using linear ground-truth data with suppressor va

2 Oct 04, 2022

MatchGAN: A Self-supervised Semi-supervised Conditional Generative Adversarial Network

MatchGAN: A Self-supervised Semi-supervised Conditional Generative Adversarial Network This repository is the official implementation of MatchGAN: A S

12 Dec 27, 2022

Official implementation of the NRNS paper: No RL, No Simulation: Learning to Navigate without Navigating

No RL No Simulation (NRNS) Official implementation of the NRNS paper: No RL, No Simulation: Learning to Navigate without Navigating NRNS is a heriarch

20 Nov 29, 2022

Calculates JMA (Japan Meteorological Agency) seismic intensity (shindo) scale from acceleration data recorded in NumPy array

shindo.py Calculates JMA (Japan Meteorological Agency) seismic intensity (shindo) scale from acceleration data stored in NumPy array Introduction Japa

3 Sep 23, 2022

A python comtrade load library accelerated by go

Related tags

Overview

Comtrade-GRPC

1. Use `comtrade_grpc.py`

2. Start grpc server

3. Make a docker image

Owner

Bo

Reinforcement-learning - Repository of the class assignment questions for the course on reinforcement learning

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

Using NumPy to solve the equations of fluid mechanics together with Finite Differences, explicit time stepping and Chorin's Projection methods

The openspoor package is intended to allow easy transformation between different geographical and topological systems commonly used in Dutch Railway

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context Code in both PyTorch and TensorFlow

Code for "Learning the Best Pooling Strategy for Visual Semantic Embedding", CVPR 2021

Scrutinizing XAI with linear ground-truth data

MatchGAN: A Self-supervised Semi-supervised Conditional Generative Adversarial Network

Official implementation of the NRNS paper: No RL, No Simulation: Learning to Navigate without Navigating

Calculates JMA (Japan Meteorological Agency) seismic intensity (shindo) scale from acceleration data recorded in NumPy array

A curated list of Generative Deep Art projects, tools, artworks, and models

Keras-1D-NN-Classifier

The Simplest DCGAN Implementation

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

Mall-Customers-Segmentation - Customer Segmentation Using K-Means Clustering

Active Offline Policy Selection With Python

領域を指定し、キーを入力することで画像を保存するツールです。クラス分類用のデータセット作成を想定しています。

Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions

Text Summarization - WCN — Weighted Contextual N-gram method for evaluation of Text Summarization

Study of human inductive biases in CNNs and Transformers.

A python comtrade load library accelerated by go

Related tags

Overview

Comtrade-GRPC

1. Use comtrade_grpc.py

2. Start grpc server

3. Make a docker image

Owner

Bo

Reinforcement-learning - Repository of the class assignment questions for the course on reinforcement learning

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

Using NumPy to solve the equations of fluid mechanics together with Finite Differences, explicit time stepping and Chorin's Projection methods

The openspoor package is intended to allow easy transformation between different geographical and topological systems commonly used in Dutch Railway

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context Code in both PyTorch and TensorFlow

Code for "Learning the Best Pooling Strategy for Visual Semantic Embedding", CVPR 2021

Scrutinizing XAI with linear ground-truth data

MatchGAN: A Self-supervised Semi-supervised Conditional Generative Adversarial Network

Official implementation of the NRNS paper: No RL, No Simulation: Learning to Navigate without Navigating

Calculates JMA (Japan Meteorological Agency) seismic intensity (shindo) scale from acceleration data recorded in NumPy array

A curated list of Generative Deep Art projects, tools, artworks, and models

Keras-1D-NN-Classifier

The Simplest DCGAN Implementation

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

Mall-Customers-Segmentation - Customer Segmentation Using K-Means Clustering

Active Offline Policy Selection With Python

領域を指定し、キーを入力することで画像を保存するツールです。クラス分類用のデータセット作成を想定しています。

Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions

Text Summarization - WCN — Weighted Contextual N-gram method for evaluation of Text Summarization

Study of human inductive biases in CNNs and Transformers.

1. Use `comtrade_grpc.py`