haozes

# need install asconnect: pip install asconnect, and openai: pip install openai

import asconnect
import os
import openai

#api key: https://developer.apple.com/documentation/appstoreconnectapi/creating_api_keys_for_app_store_connect_api
APPCONN_APIKEY_ID = "xxxxx"
APPCONN_ISSUER_ID = "xxxxxxx"
APPCONN_KEY_FILE = "xxxxx.p8"

veekaybee

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Pre-Transformer Models

madebyollin

# ------------------------------------------------------------------
# EDIT: I eventually found a faster way to run SD on macOS, via MPSGraph (~0.8s / step on M1 Pro):
#   https://github.com/madebyollin/maple-diffusion
# The original CoreML-related code & discussion is preserved below :)
# ------------------------------------------------------------------

# you too can run stable diffusion on the apple silicon GPU (no ANE sadly)
#
# quick test portraits (each took 50 steps x 2s / step ~= 100s on my M1 Pro):
# * https://i.imgur.com/5ywISvm.png

ruicky

import requests
import os, sys
import concurrent.futures
from itertools import repeat

class XimaScraper:
    def __init__(self, album_no, page_num):
        headers = {
            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:60.0) Gecko/20100101 Firefox/60.0'
        }

joninsky

/** Cosine similarity **/
private func cosineSim(A: [Double], B: [Double]) -> Double {
    return dot(A: A, B: B) / (magnitude(A: A) * magnitude(A: B))
}

/** Dot Product **/
private func dot(A: [Double], B: [Double]) -> Double {
    var x: Double = 0
    for i in 0...A.count-1 {
        x += A[i] * B[i]

carlthome

candlewill

声学特征提取

本文介绍如何提取提取声学特征用于Merlin训练。在语音合成中，属于声码器(vocoder)的内容。

Merlin可以使用两种vocoder，STRAIGHT或WORLD。WORLD的目标是提取60-dim MGC, variable-dim BAP (BAP dim: 1 for 16Khz, 5 for 48Khz), 1-dim LF0；STRAIGHT的目标是提取60-dim MGC, 25-dim BAP, 1-dim LF0。

新版本的WORLD_v2还在开发中，目标是提取60-dim MGC, 5-dim BAP, 1-dim LF0(MGC和BAP的维度支持微调)。

由于STRAIGHT的使用有严格的证书限制，本文，主要介绍WORLD。

Liam0205

%!TEX program = xelatex
% Font Size:
%   10pt, 11pt, 12pt
% Paper Size:
%   a4paper, letterpaper, a5paper, leagalpaper, executivepaper, landscape
% Font Family:
%   roman, sans
\documentclass[12pt, a4paper, roman]{moderncv}

% Style:

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)