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Krishnan Srinivasan krishpop

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View RandomForest.py
import numpy as np
import matplotlib.pyplot as plt
def basic_linear_reg(x, y):
# linear reg on 2 axes
length = len(x)
sum_x = sum(x)
sum_y = sum(y)
sum_xsq = sum(map(lambda a: a * a, x))
sum_xy = sum(map(lambda a, b: a * b, x, y))
View RandomForestRegressor.ipynb
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View BashPS1.md
Shortcut Meaning
\a an ASCII bell character (07)
\d the date in “Weekday Month Date” format (e.g., “Tue May 26”)
\D{format} the format is passed to strftime(3) and the result is inserted into the prompt string; an empty format results in a locale-specific time representation. The braces are requir
View cA.py
"""This tutorial introduces Contractive auto-encoders (cA) using Theano.
They are based on auto-encoders as the ones used in Bengio et
al. 2007. An autoencoder takes an input x and first maps it to a
hidden representation y = f_{\theta}(x) = s(Wx+b), parameterized by
\theta={W,b}. The resulting latent representation y is then mapped
back to a "reconstructed" vector z \in [0,1]^d in input space z =
g_{\theta'}(y) = s(W'y + b'). The weight matrix W' can optionally be
constrained such that W' = W^T, in which case the autoencoder is said
to have tied weights. The network is trained such that to minimize
@krishpop
krishpop / dataset.py
Last active Aug 8, 2017
Tensorflow dataset class
View dataset.py
# Code adapted from TensorFlow source example:
# https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/learn/python/learn/datasets/mnist.py
class DataSet:
"""Base data set class
"""
def __init__(self, shuffle=True, labeled=True, **data_dict):
assert '_data' in data_dict
if labeled:
View Tensorflow Tutorial.ipynb
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View init.coffee
# Your init script
#
# Atom will evaluate this file each time a new window is opened. It is run
# after packages are loaded/activated and after the previous editor state
# has been restored.
#
# An example hack to log to the console when each text editor is saved.
#
# atom.workspace.observeTextEditors (editor) ->
# editor.onDidSave ->
@krishpop
krishpop / similarity.py
Created Apr 16, 2019
Similarity metrics for Sparse Matrices
View similarity.py
def jaccard_metric(x, y):
"""
x: scipy.sparse CSR matrix shape (1, n)
y: scipy.sparse CSR matrix shape (1, n)
returns: jaccard similarity
"""
return x.minimum(y).sum()/x.maximum(y).sum()
def l2_metric(x,y):
"""
@krishpop
krishpop / spinup_run_script.py
Created Jun 28, 2019
Minimal example of Spinup Experiment (DDPG)
View spinup_run_script.py
from spinup.utils.run_utils import ExperimentGrid
from spinup import ddpg
import gym
import tensorflow as tf
def run_experiment(args):
def env_fn():
import envs # registers custom envs to gym env registry
return gym.make(args.env_name)
View export-toby.js
// code courtesy of Toby team
chrome.storage.local.get("state", o => (
((f, t) => {
let e = document.createElement("a");
e.setAttribute("href", `data:text/plain;charset=utf-8,${encodeURIComponent(t)}`);
e.setAttribute("download", f);
e.click();
})(`TobyBackup${Date.now()}.json`, o.state)
));