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@jjmaestro
jjmaestro / whisper-calculator.py
Last active January 25, 2025 05:11
whisper-calculator.py: Calculates the size of the whisper storage for the given retention (in frequency:history format)
#!/usr/bin/env python
# -*- coding: utf-8 -*-
def archive_to_bytes(archive):
def to_seconds(s):
SECONDS_IN_A = {
's': 1,
'm': 1 * 60,
'h': 1 * 60 * 60,
@dypsilon
dypsilon / frontendDevlopmentBookmarks.md
Last active July 12, 2025 14:05
A badass list of frontend development resources I collected over time.
@ragingwind
ragingwind / Backend Architectures Keywords and References.md
Last active March 21, 2025 15:01
Backend Architectures Keywords and References
@mblondel
mblondel / letor_metrics.py
Last active September 19, 2024 06:13
Learning to rank metrics.
# (C) Mathieu Blondel, November 2013
# License: BSD 3 clause
import numpy as np
def ranking_precision_score(y_true, y_score, k=10):
"""Precision at rank k
Parameters
@kristopolous
kristopolous / hn_seach.js
Last active July 24, 2023 04:12
hn job query search
// Usage:
// Copy and paste all of this into a debug console window of the "Who is Hiring?" comment thread
// then use as follows:
//
// query(term | [term, term, ...], term | [term, term, ...], ...)
//
// When arguments are in an array then that means an "or" and when they are seperate that means "and"
//
// Term is of the format:
// ((-)text/RegExp) ( '-' means negation )
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@veekaybee
veekaybee / normcore-llm.md
Last active July 14, 2025 23:52
Normcore LLM Reads

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

Screenshot 2023-12-18 at 10 40 27 PM

Pre-Transformer Models