ivanfioravanti

# Required packages:
# pip install SpeechRecognition mlx-whisper pyaudio
# Note: This script requires Apple Silicon Mac for MLX Whisper

import speech_recognition as sr
import numpy as np
import mlx_whisper

r = sr.Recognizer()
mic = sr.Microphone(sample_rate=16000)

thomwolf

""" To use: install LLM studio (or Ollama), clone OpenVoice, run this script in the OpenVoice directory
    git clone https://github.com/myshell-ai/OpenVoice
    cd OpenVoice
    git clone https://huggingface.co/myshell-ai/OpenVoice
    cp -r OpenVoice/* .
    pip install whisper pynput pyaudio
"""

from openai import OpenAI
import time

adrienbrault

# Clone llama.cpp
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp

# Build it
make clean
LLAMA_METAL=1 make

# Download model
export MODEL=llama-2-13b-chat.ggmlv3.q4_0.bin

glyph

gg_replace() {
    if [[ "$#" -lt "2" ]]; then
        echo "
Usage:
  $0 term replacement file_mask

Example:
  $0 cappuchino cappuccino '*.html'
";
    else

rikonor

package main

import (
	"fmt"
	"log"
	"net/http"
	"sync"
	"time"
)

IshitaTakeshi

Calling LAPACK/BLAS from Kotlin Native

The original C file is cblas_example1.c

$cinterop -def liblapack.def -o build/c_interop/liblapack
$kotlinc-native lapack.kt -library build/c_interop/liblapack
$./program.kexe 
11.0
14.0

fitnr

-- adapted from https://medium.com/@goldrydigital/hex-grid-algorithm-for-postgis-4ac45f61d093

-- usage: select * FROM hexbin(numeric, geometry)
-- cover a table with something like:
-- select row_number() over () id, geom
-- from hexbin(5280, st_transform(st_setsrid(st_expand(ST_EstimatedExtent('table', 'geom'), 0.1), 4269), 2255));

CREATE OR REPLACE FUNCTION hexbin (height numeric, minx numeric, miny numeric, maxx numeric, maxy numeric, srid integer)
RETURNS TABLE (geom geometry(polygon))
AS $$

endolith

"""
Train a neural network to implement the discrete Fourier transform
"""
import matplotlib.pyplot as plt
import numpy as np
from tensorflow.keras.layers import Dense
from tensorflow.keras.models import Sequential

N = 32
batch = 10000

ravnoor

function struct2csv(s,fn)
% STRUCT2CSV(s,fn)
%
% Output a structure to a comma delimited file with column headers
%
%       s : any structure composed of one or more matrices and cell arrays
%      fn : file name
%
%      Given s:
%

Miserlou

[
    {
        "city": "New York", 
        "growth_from_2000_to_2013": "4.8%", 
        "latitude": 40.7127837, 
        "longitude": -74.0059413, 
        "population": "8405837", 
        "rank": "1", 
        "state": "New York"
    },