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jeremychone
/ rust-xp-03-redis.rs
Last active
September 9, 2023 06:33
Rust Redis with Async/Await (single threaded concurrency) | RustLang by example
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| #![allow(unused)] // silence unused warnings while exploring (to comment out) | |
| use std::{error::Error, time::Duration}; | |
| use tokio::time::sleep; | |
| use redis::{ | |
| from_redis_value, | |
| streams::{StreamRangeReply, StreamReadOptions, StreamReadReply}, | |
| AsyncCommands, Client, | |
| }; |
dogukancagatay
/ KeyDB with Docker.md
Last active
October 6, 2025 21:15
Basic KeyDB Configuration with Docker
maxim5
/ pretrained_word2vec_lstm_gen.py
Last active
July 2, 2023 10:40
Text generator based on LSTM model with pre-trained Word2Vec embeddings in Keras
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| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| from __future__ import print_function | |
| __author__ = 'maxim' | |
| import numpy as np | |
| import gensim | |
| import string |
BrikerMan
/ w2v_visualizer-v2.py
Last active
March 30, 2022 20:26
Convert gensim word2vec to tensorboard visualized model, detail: https://eliyar.biz/using-pre-trained-gensim-word2vector-in-a-keras-model-and-visualizing/
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| from gensim.models import KeyedVectors | |
| # Load gensim word2vec | |
| w2v_path = '<Gensim File Path>' | |
| w2v = KeyedVectors.load_word2vec_format(w2v_path) | |
| import io | |
| # Vector file, `\t` seperated the vectors and `\n` seperate the words | |
| """ |
brendanzab
/ reactive_systems_bibliography.md
Last active
October 7, 2025 18:42
A reading list that I'm collecting while building my Rust ES+CQRS framework: https://github.com/brendanzab/chronicle
- CQRS Journey: Free ebook from Microsoft (Print book available for purchase)
- Functional and Reactive Domain Modeling: A high level overview of how to build up domain models using free monads and interpreters.
- Reactive Microservices Architecture: Free booklet from Lagom and O'Reilly
- Reactive Messaging Patterns with the Actor Model: Applications and Integration in Scala and Akka
- Domain-Driven Design: Tackling Complexity in the Heart of Software
naotokui
/ conv_autoencoder_keras.ipynb
Created
January 10, 2017 04:17
Convolutional Autoencoder in Keras
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wangruohui
/ Install NVIDIA Driver and CUDA.md
Last active
September 27, 2025 02:50
Install NVIDIA Driver and CUDA on Ubuntu / CentOS / Fedora Linux OS
In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.
From Stack Overflow.
# Fetch the submodule commits into the main repository
git remote add submodule_origin git://url/to/submodule/origin
git fetch submodule_origin
# Start a fake merge (won't change any files, won't commit anything)
git merge -s ours --no-commit submodule_origin/master
derekmcloughlin
/ stats_equations.Rmd
Last active
June 25, 2024 17:26
Useful Latex Equations used in R Markdown for Statistics
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| --- | |
| title: "Sample Equations used in Statistics" | |
| output: html_document | |
| --- | |
| ### Summations | |
| ### Without Indices | |
| $\sum x_{i}$ |
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