framp

laya-rs vs jev vs gliner-rs vs semif-rs (Qwen3.5-4B) vs Intern-Decision-4B vs Julia-1 — typed-decisions comparison

Repos: laya-rs, semif-rs, gliner-rs

Not the stock distributions but Rust ports running on CUDA. Laya-rs and gliner-rs are a bit faster than Python official distribution, Semif-rs is 25% slower than llama.cpp so it has space for improvements.

Ran the same jev-questions fixture (3 workflows: resume screening, support-session evaluation, guardrail moderation) through:

• laya-rs — Rust reimplementation of Laya (laya-typed-decisions checkpoint, ModernBERT-large

jshahbazi

#!/usr/bin/env python3
"""
Extract all VS Code GitHub Copilot Chat conversations.

Scans both global and per-workspace storage to find all chat sessions,
then exports them as readable Markdown files in an output directory.

Usage:
    python3 extract_copilot_chats.py [--output-dir ./copilot_chats] [--format markdown|json]

porthunt

import base64
import json
import requests

REPO_URL = "https://api.github.com/repos/<USER>/<REPO>/contents/<PATH>/<TO>/<FILE>.json"
TOKEN = "<YOUR PAT OR OAUTH TOKEN>"

headers = {
    "Authorization": f"token {TOKEN}",
    "Accept": "application/vnd.github.v4+raw"

fish2000

def ascii_deletion_distance(str1, str2):
    from collections import defaultdict
    histogram = defaultdict(int)
    for ch in str1:
        histogram[ch] += 1
    for ch in str2:
        histogram[ch] += 1
    union = set(str1) | set(str2)
    intersection = set(str1) & set(str2)
    result = union - intersection

espaciomore

#!/bin/bash
ARGS="${@}"
clear; 
while(true); do 
  OUTPUT=`$ARGS`
  clear 
  echo -e "${OUTPUT[@]}"
done

sahuk

"""
Converts a large CSV into SQL, can process some of the smaller chunks

Based on https://plot.ly/python/big-data-analytics-with-pandas-and-sqlite/
Original code probably from https://github.com/chriddyp
"""
import pandas
from sqlalchemy import create_engine
import tqdm

aweijnitz

#!/bin/bash

sudo apt-get -y install cups
sudo apt-get -y install cups-pdf

# add pdf printer to cups 
#   - named files end up in ~/PDF/
#   - unnamed files are stored in /var/spool/cups-pdf/ANONYMOUS/, such as PDF:s created by streaming bytes over an API 
sudo lpadmin -p cups-pdf -v cups-pdf:/ -E -P /usr/share/ppd/cups-pdf/CUPS-PDF.ppd

Bonno

ffmpeg -i <infile> -ac 2 -f wav <outfile>

grenade

<#
.Synopsis
  Installs a Windows service on a remote computer.
  Sets the credentials for the service to run under.
  Grants SeServiceLogonRight to the account.
  Sets service recovery options.
.Parameter computerName
  Defines the name of the computer which will host the service.
  Default is the local computer on which the script is run.
.Parameter name

bootchk

'''
Copyright 2013 Lloyd Konneker

License: LGPL
'''
from PySide.QtCore import QSettings


class WindowSettable(object):
  '''