Sergey Kishchenko tilarids

tilarids / mpd.ipynb

Last active April 19, 2018 16:33

Maddison's historical data toy analysis

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tilarids / tf.py

Last active March 22, 2017 04:32

tf vs theano (simple example)

	import tensorflow as tf
	import numpy as np

	trX = np.linspace(-1, 1, 1001, dtype=np.float32)
	trY = 2 * trX + np.random.randn(trX.shape).astype(np.float32) 0.33

	EPOCHS = 1000
	CAP = 1000
	queue_xy = tf.train.input_producer(tf.pack([trX, trY], axis=1), shuffle=False, capacity=CAP, num_epochs=EPOCHS)

tilarids / tiny_hello.asm

Created September 23, 2016 00:49

A minimal Mach-o x32 executable for OS X El Capitan (with proper padding and symtable)

	; A minimal Mach-o x32 executable for OS X El Capitan (with proper padding and symtable)
	;
	; Original (pre 10.10.5) version - https://gist.github.com/softboysxp/1084476
	; $ nasm -O0 -f bin -o tiny_hello tiny_hello.asm
	; $ chmod +x tiny_hello
	; $ ./tiny_hello
	; (returns 42)
	; $

	; c.f.

tilarids / query_demo.ipynb

Created September 10, 2016 15:19

JSON + Pandas query demo

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tilarids / README

Last active August 30, 2016 03:05

	Policy Gradients (with & without TRPO).

	More details and reproducing: https://github.com/tilarids/reinforcement_learning_playground
	This specific commit was using to reproduce this: https://github.com/tilarids/reinforcement_learning_playground/commit/fd442e78ee4c93dfa38a3e83677b3d3cb3eefc90

tilarids / README

Created August 30, 2016 02:17

	TRPO (described in http://arxiv.org/abs/1502.05477) with an additional neural network to predict value (used for advantage calculation).

	More details and steps to reproduce: https://github.com/tilarids/reinforcement_learning_playground
	Commit used to produce the result: https://github.com/tilarids/reinforcement_learning_playground/commit/df2b1c68735f31c6ed2b943a1e0309385b53cd0e

tilarids / ks_test.ipynb

Created August 15, 2016 19:02

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tilarids / tf_regression.py

Last active July 19, 2016 22:01

Minimized TensorFlow regression model

	import os.path
	import time

	import numpy as np
	import tensorflow as tf

	from tensorflow.python.training import saver as saver_lib
	from tensorflow.python.training import summary_io

	# Basic model parameters as external flags.

tilarids / .gitignore

Last active July 7, 2016 18:11

Simple serialize implementation for discussion

	main
	main.dSYM/

tilarids / .gitignore

Last active July 7, 2016 18:00

Testbed for C++ serialization

	main
	main.dSYM/