rvndbalaji

import base64
import functools
import operator
from typing import *
from typing import Annotated, Any, Dict, List, Sequence

from dto.chat import *
from dto.graph import *
from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder
from langchain.tools import BaseTool

takanotaiga

# Copyright 2023 Taiga Takano
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http:#www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

anzz1

# Convert a LLaMA model checkpoint to a ggml compatible file
#
# Load the model using Torch
# Iterate over all variables and write them to a binary file.
#
# For each variable, write the following:
#   - Number of dimensions (int)
#   - Name length (int)
#   - Dimensions (int[n_dims])
#   - Name (char[name_length])

harubaru

Waifu Diffusion 1.3 Release Notes

HuggingFace Page for model download: https://huggingface.co/hakurei/waifu-diffusion-v1-3

Table of Contents

• Model Overview
• Training Process
• Prompting
• License
• Sample Generations

atc1441

OTA Start: 
00 FF 

OTA Start1: 
01FF

OTA Packets: 
block data                             crc
00 00 2680000000005d024b4e4c5430048800 1ca3

Felflare

align_images.py

import argparse
import cv2
import dlib
import json
import numpy
import skimage
from pathlib import Path
from tqdm import tqdm
from umeyama import umeyama

cmoulton

func makeGetCall() {
  // Set up the URL request
  let todoEndpoint: String = "https://jsonplaceholder.typicode.com/todos/1"
  guard let url = URL(string: todoEndpoint) else {
    print("Error: cannot create URL")
    return
  }
  let urlRequest = URLRequest(url: url)

  // set up the session

Pulimet

Hi All!

I've recently launched a tool that wraps many of the commands here with a user interface. This desktop application is currently available for macOS. There's a roadmap outlining planned features for the near future.
Feel free to request any features you'd like to see, and I'll prioritize them accordingly.
One of the most important aspects of this application is that every command executed behind the scenes is displayed in a special log section. This allows you to see exactly what’s happening and learn from it.

Here's the link to the repository:  https://github.com/Pulimet/ADBugger

App Description:
ADBugger is a desktop tool designed for debugging and QA of Android devices and emulators. It simplifies testing, debugging, and performance analysis by offering device management, automated testing, log analysis, and remote control capabilities. This ensures smooth app performance across various setups.

soobrosa

# thanks to
# https://medium.com/r/?url=https%3A%2F%2Fncsforum.movidius.com%2Fdiscussion%2Fcomment%2F299%2F%23Comment%5C_299
# https://ahmedibrahimvt.wordpress.com/2017/02/19/fatal-error-hdf5-h-no-such-file-or-directory/
# http://www.pyimagesearch.com/2015/07/20/install-opencv-3-0-and-python-3-4-on-ubuntu/

sudo apt-get update
sudo apt-get upgrade
sudo apt-get install build-essential cmake pkg-config
sudo apt-get install libjpeg-dev libtiff5-dev libjasper-dev libpng12-dev
sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev