| { | |
| "last_node_id": 25, | |
| "last_link_id": 41, | |
| "nodes": [ | |
| { | |
| "id": 4, | |
| "type": "Width/Height Literal", | |
| "pos": [ | |
| -209, | |
| 451 |
| ''' This script uses ytmusicapi and pytube together to download your playlists, history or 'liked' songs as | |
| high-quality audio-only streams from Youtube Music, which are protected by a "signatureCipher" obfuscation scheme. | |
| To use it, first install [ytmusicapi] and [pytube] using pip, then follow the instructions for creating the auth | |
| file from the response in an authenticated session to a watch-page request as found in your browser's dev-tools. | |
| The downloaded files are placed in ~/Music, named with the artist and track metadata, and will be skipped instead | |
| of downloaded again next time it is run, based on the videoIds of the downloaded songs. | |
| Merry Xmas - V. |
| # coding=utf-8 | |
| # Copyright 2023 The HuggingFace Inc. team. All rights reserved. | |
| # | |
| # 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 |
| mp=1; size=7B; # to run 7B | |
| mp=8; size=65B; # to run 65B | |
| for seed in $(randint 1000000) | |
| do | |
| export TARGET_FOLDER=~/ml/data/llama/LLaMA | |
| time python3 -m torch.distributed.run --nproc_per_node $mp example.py --ckpt_dir $TARGET_FOLDER/$size --tokenizer_path $TARGET_FOLDER/tokenizer.model --seed $seed --max_seq_len 2048 --max_gen_len 2048 --count 0 | tee -a ${size}_startrek.txt | |
| done |
| { | |
| "$schema": "https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json", | |
| "basics": { | |
| "name": "Stéphane BUSSO", | |
| "label": "Tech Leader | Architect | Developer | Web3 | Blockchain | SaaS", | |
| "image": "", | |
| "email": "stephane.busso@gmail.com", | |
| "phone": "+642108923834", | |
| "summary": "As an experienced engineering manager and technical leader, I enjoy helping companies grow their teams, design and develop better software solutions, be agile, and deliver quality products and services faster.", | |
| "location": { |
| #!/usr/bin/python3 | |
| #%pip install click clip-retrieval img2dataset aiomultiprocess aiohttp aiofile | |
| from clip_retrieval.clip_client import ClipClient, Modality | |
| import json, pathlib, functools | |
| import aiomultiprocess, asyncio, aiohttp, aiofile | |
| from aiohttp import request, ClientTimeout | |
| from aiomultiprocess import Pool | |
| import click |
This was a response to a Hacker News comment asking me what I've been up to since 2010. I'm posting it here since HN rejects it with "that comment is too long." I suppose that's fair, since this ended up being something of an autobiography.
--
What happened after 2010?
| # ------------------------------------------------------------------------------- | |
| # a very basic k-means/elbow clustering | |
| # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - | |
| # "wrote this up one day while sitting on the terlet. i do some of my best | |
| # thinking there" - Author - Victor M. Condino - Wednesday, Feb. 3rd, 2020 | |
| # | |
| # this is some code to find the optimal clustering of points in a n-dimensional | |
| # dataset, when the number of clusters is not known uses the elbow-method. | |
| # | |
| # (I'd like to dedicate this to my mom, Martha, who knows way more about |
