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@gtallen1187
gtallen1187 / slope_vs_starting.md
Created November 2, 2015 00:02
A little bit of slope makes up for a lot of y-intercept

"A little bit of slope makes up for a lot of y-intercept"

01/13/2012. From a lecture by Professor John Ousterhout at Stanford, class CS140

Here's today's thought for the weekend. A little bit of slope makes up for a lot of Y-intercept.

[Laughter]

@nyancodeid
nyancodeid / README.md
Last active April 14, 2024 20:44
Make RESTful API with Google Apps Script and SpreadSheet

Google Script CRUD

By Ryan Aunur Rassyid

Simply create RESTful API with Google Script and store it to Google SpreadSheet like a Pro.

@dideler
dideler / 0-startup-overview.md
Last active April 6, 2024 16:43
Startup Engineering notes
@oguiza
oguiza / Multivariate Time Series Classification - LSST.ipynb
Last active April 2, 2024 00:01
UCR_Time_Series_Classification_Univariate_Datasets.ipynb
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@dbehnke
dbehnke / client.py
Created March 18, 2014 19:08
Python AsyncIO Client and Server Example using StreamReader and StreamWriter
"""
client.py - AsyncIO Server using StreamReader and StreamWriter
This will create 200 client connections to a server running server.py
It will handshake and run similar to this:
Server: HELLO
Client: WORLD
@baraldilorenzo
baraldilorenzo / readme.md
Last active November 21, 2023 22:41
VGG-16 pre-trained model for Keras

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

@jph00
jph00 / fast_peft.py
Last active October 18, 2023 21:08
Make get_peft_model() fast
from bitsandbytes.nn.modules import Linear8bitLt, Linear4bit
from contextlib import contextmanager
def noop (x=None, *args, **kwargs):
"Do nothing"
return x
@contextmanager
def no_kaiming():
old_iku = init.kaiming_uniform_

Interactive Machine Learning

Taught by Brad Knox at the MIT Media Lab in 2014. Course website. Lecture and visiting speaker notes.

@icholy
icholy / info.md
Last active June 7, 2017 07:59
Go code generation: COG + Jinja2

Install deps

$ sudo pip install cogapp
$ sudo pip install jinja2

Run COG