Abhishek Sharma shaabhishek

## squeezing.tex
%% /** ---------------------------------------------------------
%%      a file full of squeezing options
%%      -- which you should try to avoid
%% -------------------------------------------------------------
%%
%% from:
%% http://www.eng.cam.ac.uk/help/tpl/textprocessing/squeeze.html
%% ---------------------------------------------------------- */
%%     * Page Layout
%%           o \columnsep: gap between columns

## README.md

      
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                taylorpaul
                / README.md
            
            
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                Tensorboard on SLURM
              
          
    Environment:

Tensorflow: v0.11.0rc2
OS: CENTOS 6.8 (No root access)
Description:


The tensorboardSLURM.sh can be run with the following command to start a tensorboard server on a SLURM cluster:

sbatch --array=0-0 tensorboardSLURM.sh 


## Eigen Cheat sheet
// A simple quickref for Eigen. Add anything that's missing.
// Main author: Keir Mierle

#include <Eigen/Dense>

Matrix<double, 3, 3> A;               // Fixed rows and cols. Same as Matrix3d.
Matrix<double, 3, Dynamic> B;         // Fixed rows, dynamic cols.
Matrix<double, Dynamic, Dynamic> C;   // Full dynamic. Same as MatrixXd.
Matrix<double, 3, 3, RowMajor> E;     // Row major; default is column-major.
Matrix3f P, Q, R;                     // 3x3 float matrix.

## dqn_cartpole_keras.py
import gym
import numpy as np
from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import Adam
from collections import deque

# Create the Cart-Pole game environment
env = gym.make('CartPole-v0')

## Elements of Statistical Learning.md

      
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                goerz
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                PDF bookmarks for "Hastie, Tibshirani, Friedman - The Elements of Statistical Learning" (LaTeX)
              
          
    This gist contains out.tex, a tex file that adds a PDF outline ("bookmarks") to the freely available pdf file of the book
The Elements of Statistical Learning (2nd ed),
by Trevor Hastie, Robert Tibshirani, and Jerome Friedman
https://web.stanford.edu/~hastie/ElemStatLearn/
The bookmarks allow to navigate the contents of the book while reading it on a screen.
Usage
	%% /** ---------------------------------------------------------
	%% a file full of squeezing options
	%% -- which you should try to avoid
	%% -------------------------------------------------------------
	%%
	%% from:
	%% http://www.eng.cam.ac.uk/help/tpl/textprocessing/squeeze.html
	%% ---------------------------------------------------------- */
	%% * Page Layout
	%% o \columnsep: gap between columns
	// A simple quickref for Eigen. Add anything that's missing.
	// Main author: Keir Mierle

	#include <Eigen/Dense>

	Matrix<double, 3, 3> A; // Fixed rows and cols. Same as Matrix3d.
	Matrix<double, 3, Dynamic> B; // Fixed rows, dynamic cols.
	Matrix<double, Dynamic, Dynamic> C; // Full dynamic. Same as MatrixXd.
	Matrix<double, 3, 3, RowMajor> E; // Row major; default is column-major.
	Matrix3f P, Q, R; // 3x3 float matrix.
	import gym
	import numpy as np
	from keras.models import Sequential
	from keras.layers import Dense
	from keras.optimizers import Adam
	from collections import deque

	# Create the Cart-Pole game environment
	env = gym.make('CartPole-v0')