mberman84

# Must have conda installed
# It costs approximately $0.2 (in GPT-4 API fees) to generate one example with analysis and design, and around $2.0 for a full project.

conda create -n metagpt python=3.11.4
conda activate metagpt
npm --version # to check you have npm installed
# optional: install node if you don't have it
npm install -g @mermaid-js/mermaid-cli
git clone https://github.com/geekan/metagpt
cd metagpt

jachiam

# Script for converting a HF Diffusers saved pipeline to a Stable Diffusion checkpoint.
# *Only* converts the UNet, VAE, and Text Encoder.
# Does not convert optimizer state or any other thing.
# Written by jachiam

import argparse
import os.path as osp

import torch

MathijsdeBoer

# syntax=docker/dockerfile:1
# PyTorch3D supports up to PyTorch 1.11, 22.02 is the last image to use 1.11 before they
# upgrade to 1.12
FROM nvcr.io/nvidia/pytorch:22.02-py3
WORKDIR /app

ARG DEBIAN_FRONTEND=noninteractive
ENV TZ=Europe/Amsterdam

# Get the basic Linux packages upgraded and get the development tools setup

ShawnHymel

# TFLite quantized inference example
#
# Based on:
# https://www.tensorflow.org/lite/performance/post_training_integer_quant
# https://www.tensorflow.org/lite/api_docs/java/org/tensorflow/lite/Tensor.QuantizationParams

import numpy as np
import tensorflow as tf

# Location of tflite model file (float32 or int8 quantized)

aravindsrinivas

import functools
import numpy as np
import tensorflow.compat.v1 as tf
from tensorflow.python.tpu import tpu_function


BATCH_NORM_DECAY = 0.9
BATCH_NORM_EPSILON = 1e-5

interactivetech

eldadfux

_APP_ENV=production
_APP_LOCALE=en
_APP_OPTIONS_ABUSE=enabled
_APP_OPTIONS_FORCE_HTTPS=disabled
_APP_OPENSSL_KEY_V1=your-secret-key
_APP_DOMAIN=localhost
_APP_DOMAIN_TARGET=localhost
_APP_CONSOLE_WHITELIST_ROOT=enabled
_APP_CONSOLE_WHITELIST_EMAILS=
_APP_CONSOLE_WHITELIST_IPS=

AlaaEddinAlbarghoth

fun getDeviceSerial(applicationContext: Context): String? {

    var serialNumber: String?

    try {
        val c = Class.forName("android.os.SystemProperties")
        val get = c.getMethod("get", String::class.java)

        serialNumber = get.invoke(c, "gsm.sn1") as String

ESWZY

# Simplified version and explanation at: https://stackoverflow.com/a/64439347/12866353

import os
import ffmpeg

def compress_video(video_full_path, size_upper_bound, two_pass=True, filename_suffix='cps_'):
    """
    Compress video file to max-supported size.
    :param video_full_path: the video you want to compress.
    :param size_upper_bound: Max video size in KB.

shks

#python 

'''
setup instruction 
for Install pythonosc
pip install python-osc

'''

from pythonosc import dispatcher