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@hanxiao
hanxiao / testRegex.js
Last active April 22, 2025 02:43
Regex for chunking by using all semantic cues
// Updated: Aug. 20, 2024
// Run: node testRegex.js whatever.txt
// Live demo: https://jina.ai/tokenizer
// LICENSE: Apache-2.0 (https://www.apache.org/licenses/LICENSE-2.0)
// COPYRIGHT: Jina AI
const fs = require('fs');
const util = require('util');
// Define variables for magic numbers
const MAX_HEADING_LENGTH = 7;
@thomwolf
thomwolf / gpt-2-wikitext-103.py
Last active September 23, 2024 20:23
A very small and self-contained gist to train a GPT-2 transformer model on wikitext-103
# Copyright (c) 2019-present, Thomas Wolf.
# All rights reserved. This source code is licensed under the MIT-style license.
""" A very small and self-contained gist to train a GPT-2 transformer model on wikitext-103 """
import os
from collections import namedtuple
from tqdm import tqdm
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from ignite.engine import Engine, Events
@lornajane
lornajane / mac.md
Last active April 17, 2025 05:05
Keyboard Only OS X

Keyboard-only Mac Cheatsheet

Hi, I'm Lorna and I don't use a mouse. I have had RSI issues since a bad workstation setup at work in 2006. I've tried a number of extra hardware modifications but what works best for me is to use the keyboard and only the keyboard, so I'm in a good position and never reaching for anything else (except my coffee cup!). I rather unwisely took a job which required me to use a mac (I've been a linux user until now and also had the ability to choose my tools carefully) so here is my cheatsheet of the apps, tricks and keyboard shortcuts I'm using, mostly for my own reference. Since keyboard-only use is also great for productivity, you may also find some of these ideas useful, in which case at least something good has come of this :)

Apps List

There's more detail on a few of these apps but here is a quick overview of the tools I've installed and found helpful

Tool Link Comments
@thoolihan
thoolihan / install_tensorflow_centos7.sh
Last active January 28, 2019 06:17
Install TensorFlow on CentOS7
sudo yum -y install epel-release
sudo yum -y install gcc gcc-c++ python-pip python-devel atlas atlas-devel gcc-gfortran openssl-devel libffi-devel
# use pip or pip3 as you prefer for python or python3
pip install --upgrade virtualenv
virtualenv --system-site-packages ~/venvs/tensorflow
source ~/venvs/tensorflow/bin/activate
pip install --upgrade numpy scipy wheel cryptography #optional
pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.10.0rc0-cp35-cp35m-linux_x86_64.whl
# or below if you want gpu, support, but cuda and cudnn are required, see docs for more install instructions
pip install --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.10.0rc0-cp35-cp35m-linux_x86_64.whl
@slamorsi
slamorsi / values.md
Last active January 12, 2019 20:06
Developer Values

Discard Ego, Acquire Self Improvement

  • Be: self aware, disciplined, and humble
  • Don't: be afraid to ask for help, fear mistakes (learn from them), or get attached to your ideas
  • Focus on: learning, improving & practicing good habits
  • Do: well today (and ship) rather than wait for perfection, set high expectations for yourself, step out of your comfort zone, understand and accept you can be wrong, test your code/process/assumptions and ask for feedback

Be Lazy (Practical)

  • Identify root causes, not what's on the surface
  • Be clear about your approach and what you're doing/not doing
  • Differentiate between what needs to be done vs what can be improved later
@karpathy
karpathy / min-char-rnn.py
Last active April 21, 2025 10:52
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
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)
@chantastic
chantastic / on-jsx.markdown
Last active November 10, 2024 13:39
JSX, a year in

Hi Nicholas,

I saw you tweet about JSX yesterday. It seemed like the discussion devolved pretty quickly but I wanted to share our experience over the last year. I understand your concerns. I've made similar remarks about JSX. When we started using it Planning Center, I led the charge to write React without it. I don't imagine I'd have much to say that you haven't considered but, if it's helpful, here's a pattern that changed my opinion:

The idea that "React is the V in MVC" is disingenuous. It's a good pitch but, for many of us, it feels like in invitation to repeat our history of coupled views. In practice, React is the V and the C. Dan Abramov describes the division as Smart and Dumb Components. At our office, we call them stateless and container components (view-controllers if we're Flux). The idea is pretty simple: components can't

@zxbodya
zxbodya / render-react-with-rxjs.md
Last active November 1, 2021 08:49
React with RxJS, reactive way :)

Observable React elements with RxJS

Note: if you want to skip history behind this, and just looking for final result see: rx-react-container

When I just started using RxJS with React, I was subscribing to observables in componentDidMount and disposing subscriptions at componentWillUnmount.

But, soon I realised that it is not fun to do all that subscriptions(that are just updating property in component state) manually, and written mixin for this...

Later I have rewritten it as "high order component" and added possibility to pass also obsarvers that will receive events from component.

@staltz
staltz / introrx.md
Last active April 21, 2025 04:15
The introduction to Reactive Programming you've been missing
@denji
denji / http-benchmark.md
Last active April 10, 2025 10:01
HTTP(S) Benchmark Tools / Toolkit for testing/debugging HTTP(S) and restAPI (RESTful)