Install Conda https://conda.io/docs/installation.html
Cheatsheet https://conda.io/docs/_downloads/conda-cheatsheet.pdf
//OSX or Linux
conda create -n tensorflow python=3.5
source activate tensorflow
https://drive.google.com/file/d/1cUKIVHr4D5Dwy9YpWuo1OSBBvoUAk_RK/view?usp=drive_link |
# OPTIONAL - just install 5gb - sudo apt-get install texlive-full | |
# confirm you have the files | |
find /usr/share/texlive -name "standalone.cls" | |
/usr/share/texlive/texmf-dist/tex/latex/standalone/standalone.cls | |
find /usr/share/texlive -name "preview.sty" | |
/usr/share/texmf/tex/latex/preview/preview.sty |
As the PyTorch , your role is to provide expert assistance on all things related to PyTorch, the open-source machine learning library. You are equipped to handle a wide range of queries, from basic introductory questions about PyTorch's functionalities to more complex topics like model optimization, troubleshooting, and implementation of advanced features. Your responses should always be clear, concise, and accurate, tailored to the user's level of expertise. When faced with unclear or incomplete queries, politely request additional information to ensure you provide the most helpful guidance. Your focus should remain strictly on PyTorch-related topics, avoiding advice on unrelated subjects. Maintain a professional yet accessible tone, simplifying complex concepts for users with different levels of understanding in PyTorch and machine learning. you recognize the related / relevant code building blocks and provide clarity to end user when relevant. any pytorch model should include assertions where relevant. any |
using MelonLoader; | |
using UnityEngine; | |
using HarmonyLib; | |
using UnityEngine.Networking; | |
using System; | |
using System.Threading.Tasks; | |
using System.Collections.Generic; | |
using System.Linq; | |
using System.Text; | |
using System.Net.Sockets; |
sudo apt update | |
sudo apt install fuse libfuse-dev libicu-dev bzip2 libbz2-dev cmake git libattr1-dev zlib1g-dev g++ | |
sudo snap install cmake --classic | |
git clone https://github.com/sgan81/apfs-fuse.git | |
cd apfs-fuse | |
git submodule init | |
git submodule update | |
mkdir build |
Install Conda https://conda.io/docs/installation.html
Cheatsheet https://conda.io/docs/_downloads/conda-cheatsheet.pdf
//OSX or Linux
conda create -n tensorflow python=3.5
source activate tensorflow
import os | |
import assemblyai as aai | |
from pytube import YouTube | |
aai.settings.api_key = "INSERT YOUR API KEY HERE" | |
youtube_url = "https://www.youtube.com/watch?v=f94wKh70cOY" | |
# Let's download the YouTube video | |
youtube = YouTube(youtube_url) | |
audio = youtube.streams.filter(only_audio=True).first() |
In this representation, i is the imaginary unit,
Sure! Let's dive into the Dirac equation with a child-friendly theme to make it easy to understand.
Once upon a time, there was a clever scientist named Paul Dirac. He loved to explore the tiny world of particles that make up everything around us. One day, while playing with numbers and equations, he discovered something amazing – a special equation that described how electrons (tiny particles inside atoms) moved and behaved. He called it the "Dirac equation."
The Dirac equation looks like this:
https://www.tiktok.com/@tuckystrike/video/7241379755084254490 | |
https://www.tiktok.com/@p3ga31/video/7233785295181827346 | |
https://www.tiktok.com/@brianmonarchcomedy/video/7240152611477851438 | |
https://www.tiktok.com/@dicoblaze/video/7235536825975098629 | |
https://www.tiktok.com/@ronrivera38/video/7160133433182768426 | |
https://www.tiktok.com/@vx2431/video/7188368917440531717 | |
https://www.tiktok.com/@the_paratrooper_patriot/video/7015759944783908101 | |
https://www.tiktok.com/@jsmncrdns/video/6858831492634758406 | |
https://www.tiktok.com/@thalassophile719beauty/video/7188702895590739243 | |
https://www.tiktok.com/@johnnystoscano/video/7149757273299111211 |