- painlessMesh: https://gitlab.com/painlessMesh/painlessMesh
- easyMesh: https://github.com/Coopdis/easyMesh
- ESP-Mesh: https://www.espressif.com/en/products/software/esp-mesh/overview
- ESP8266 WiFi Mesh: https://github.com/esp8266/Arduino/tree/master/libraries/ESP8266WiFiMesh
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#!/bin/bash | |
#--------------------------------------------------------------------------------# | |
# # | |
# Fix WSL DNS resolution with Cisco AnyConnect # | |
# # | |
# ! Don't forget to set this configuration in /etc/wsl.conf: # | |
# [network] # | |
# generateResolvConf = false # | |
# # | |
# Based on: # |
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import pandas as pd | |
from math import sqrt | |
from manim import * | |
def create_model() -> tuple: | |
data = list(pd.read_csv("https://bit.ly/2KF29Bd").itertuples()) | |
m = ValueTracker(1.93939) | |
b = ValueTracker(4.73333) | |
ax = Axes( |
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alias: pixelclock_spotify | |
description: "" | |
trigger: | |
- platform: state | |
entity_id: media_player.spotify_vistagamer | |
condition: [] | |
action: | |
- choose: | |
- conditions: | |
- condition: state |
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alias: pixelclock_spotify | |
description: "" | |
trigger: | |
- platform: state | |
entity_id: media_player.spotify_vistagamer | |
condition: [] | |
action: | |
- choose: | |
- conditions: | |
- condition: state |
Training TensorFlow models in C++
Python is the primary language in which TensorFlow models are typically developed and trained. TensorFlow does have bindings for other programming languages. These bindings have the low-level primitives that are required to build a more complete API, however, lack much of the higher-level API richness of the Python bindings, particularly for defining the model structure.
This file demonstrates taking a model (a TensorFlow graph) created by a Python program and running the training loop in C++.
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// A simple quickref for Eigen. Add anything that's missing. | |
// Main author: Keir Mierle | |
#include <Eigen/Dense> | |
Matrix<double, 3, 3> A; // Fixed rows and cols. Same as Matrix3d. | |
Matrix<double, 3, Dynamic> B; // Fixed rows, dynamic cols. | |
Matrix<double, Dynamic, Dynamic> C; // Full dynamic. Same as MatrixXd. | |
Matrix<double, 3, 3, RowMajor> E; // Row major; default is column-major. | |
Matrix3f P, Q, R; // 3x3 float matrix. |
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[Desktop Entry] | |
Comment[en_US]= | |
Comment= | |
Exec=bash $HOME/xone_install_or_update.sh | |
GenericName[en_US]= | |
GenericName= | |
Icon=preferences-desktop-gaming | |
MimeType= | |
Name[en_US]=Install⁄Update Xone | |
Name=Install⁄Update Xone |
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