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@tsiege
tsiege / The Technical Interview Cheat Sheet.md
Last active May 7, 2024 17:37
This is my technical interview cheat sheet. Feel free to fork it or do whatever you want with it. PLEASE let me know if there are any errors or if anything crucial is missing. I will add more links soon.

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






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@kevin-smets
kevin-smets / iterm2-solarized.md
Last active May 7, 2024 09:29
iTerm2 + Oh My Zsh + Solarized color scheme + Source Code Pro Powerline + Font Awesome + [Powerlevel10k] - (macOS)

Default

Default

Powerlevel10k

Powerlevel10k

@kalinchernev
kalinchernev / countries
Created October 6, 2014 09:42
Plain text list of countries
Afghanistan
Albania
Algeria
Andorra
Angola
Antigua & Deps
Argentina
Armenia
Australia
Austria
@karpathy
karpathy / pg-pong.py
Created May 30, 2016 22:50
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym
# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward
@nylki
nylki / char-rnn recipes.md
Last active March 16, 2024 15:13
char-rnn cooking recipes

do androids dream of cooking?

The following recipes are sampled from a trained neural net. You can find the repo to train your own neural net here: https://github.com/karpathy/char-rnn Thanks to Andrej Karpathy for the great code! It's really easy to setup.

The recipes I used for training the char-rnn are from a recipe collection called ffts.com And here is the actual zipped data (uncompressed ~35 MB) I used for training. The ZIP is also archived @ archive.org in case the original links becomes invalid in the future.

@woollsta
woollsta / chunkify.js
Last active December 25, 2023 10:45
Fixes an issue with Google Chrome Speech Synthesis where long texts pause mid-speaking. The function takes in a speechUtterance object and intelligently chunks it into smaller blocks of text that are stringed together one after the other. Basically, you can play any length of text. See http://stackoverflow.com/questions/21947730/chrome-speech-sy…
/**
* Chunkify
* Google Chrome Speech Synthesis Chunking Pattern
* Fixes inconsistencies with speaking long texts in speechUtterance objects
* Licensed under the MIT License
*
* Peter Woolley and Brett Zamir
*/
var speechUtteranceChunker = function (utt, settings, callback) {
@spitis
spitis / bnlstm.py
Created February 2, 2017 03:05
Batch normalized LSTM Cell for Tensorflow
"""adapted from https://github.com/OlavHN/bnlstm to store separate population statistics per state"""
import tensorflow as tf, numpy as np
RNNCell = tf.nn.rnn_cell.RNNCell
class BNLSTMCell(RNNCell):
'''Batch normalized LSTM as described in arxiv.org/abs/1603.09025'''
def __init__(self, num_units, is_training_tensor, max_bn_steps, initial_scale=0.1, activation=tf.tanh, decay=0.95):
"""
* max bn steps is the maximum number of steps for which to store separate population stats
"""
@josephernest
josephernest / daemon.py
Last active March 22, 2023 05:20
Daemon for Python
# From "A simple unix/linux daemon in Python" by Sander Marechal
# See http://stackoverflow.com/a/473702/1422096 and http://web.archive.org/web/20131017130434/http://www.jejik.com/articles/2007/02/a_simple_unix_linux_daemon_in_python/
#
# Modified to add quit() that allows to run some code before closing the daemon
# See http://stackoverflow.com/a/40423758/1422096
#
# Modified for Python 3 (see also: http://web.archive.org/web/20131017130434/http://www.jejik.com/files/examples/daemon3x.py)
#
# Joseph Ernest, 20200507_1220
@danijar
danijar / blog_tensorflow_sequence_classification.py
Last active December 24, 2021 03:53
TensorFlow Sequence Classification
# Example for my blog post at:
# https://danijar.com/introduction-to-recurrent-networks-in-tensorflow/
import functools
import sets
import tensorflow as tf
def lazy_property(function):
attribute = '_' + function.__name__
@danijar
danijar / share_variables_decorator.py
Last active November 20, 2021 17:21
TensorFlow decorator to share variables between calls. Works for both functions and methods.
import functools
import tensorflow as tf
class share_variables(object):
def __init__(self, callable_):
self._callable = callable_
self._wrappers = {}