svpino

Running TensorFlow on Apple Silicon

1. Install Homebrew The Missing Package Manager for macOS (or Linux) — Homebrew

2. Download Miniforge3

3. Install Miniforge3 and restart your terminal as soon as the installation finishes:

svpino

import numpy as np
import pandas as pd
import random
import tensorflow as tf
import matplotlib.pyplot as plt

from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Flatten, Conv2D, Dense, MaxPooling2D
from tensorflow.keras.optimizers import SGD
from tensorflow.keras.utils import to_categorical

svpino

# Loading and serving the model:

vllm serve /root/commonData/DeepSeek-R1 \
    --host 0.0.0.0 \
    --port 8000 \
    --enable-reasoning \
    --reasoning-parser deepseek_r1 \
    --tensor-parallel-size 8 \
    --load-format auto \
    --trust-remote-code \

svpino

import numpy as np

def sigmoid(x):
    return 1 / (1 + np.exp(-x))

def neural_network(X, y):
    learning_rate = 0.1
    W1 = np.random.rand(2, 4)
    W2 = np.random.rand(4, 1)

svpino

When Predictive Models Fail

Citations

• Ragheb, M. (2012, March 28). Fukushima Earthquake and Tsunami Station Blackout Accident
• Nuclear Chemistry: Lessons From The Fukushima Daiichi Disaster
• Fukushima nuclear disaster — Wikipedia
• The Signal and the Noise. Nate Silver
• Gutenberg-Richter law — Wikipedia
• List of earthquakes in Japan — Wikipedia

svpino

import re
import asyncio
from playwright.async_api import async_playwright


USERNAME = "TYPE YOUR USERNAME HERE"
PASSWORD = "TYPE YOUR PASSWORD HERE"
HOST = "zproxy.lum-superproxy.io:9222"

URL = "https://www.svpino.com/" # USE YOUR URL HERE

svpino

import re
import asyncio
import os

from bs4 import BeautifulSoup
from bs4.element import NavigableString
from playwright.async_api import async_playwright

USERNAME = "USERNAME HERE"
PASSWORD = "PASSWORD HERE"

svpino

import torch
import peft
import transformers
from transformers import AutoTokenizer, AutoModelForCausalLM
from huggingface_hub.hf_api import HfFolder

ACCESS_TOKEN = "ENTER YOUR HUGGINGFACE ACCESS TOKEN HERE"

HfFolder.save_token(ACCESS_TOKEN)

svpino

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()

svpino

# !pip install llama-index monsterapi sentence_transformers --quiet

import os

from llama_index.llms import MonsterLLM
from llama_index import VectorStoreIndex, SimpleDirectoryReader, ServiceContext
from llama_index.embeddings import LangchainEmbedding
from langchain.embeddings import HuggingFaceEmbeddings
from sentence_transformers import SentenceTransformer