louislung / 0_Readme.md

Last active June 30, 2022 00:55

Implement Factorised RankNet (speedup version of RankNet) using tensorflow 2.0

Factorised RankNet TensorFlow Implementation

For details please check this blog post

blepfo / TensorFlow-Best-Practices-Q1-2018.md

Last active December 13, 2018 10:22

TensorFlow Best Practices as of Q1 2018

By Adam Anderson

adam.b.anderson.96@gmail.com

Preface

This write-up assumes you have an general understanding of the TensorFlow programming model, but maybe you haven't kept up to date with the latest library features/standard practices.

higepon / seq2seq.py

Last active August 1, 2023 09:05

Minimum Seq2Seq implementation using Tensorflow 1.4/1.5 API

	import numpy as np
	import tensorflow as tf
	from tensorflow.python.layers import core as layers_core

	hparams = tf.contrib.training.HParams(
	batch_size=3,
	encoder_length=4,
	decoder_length=5,
	num_units=6,
	src_vocab_size=7,

dolaameng / mnist_estimator.py

Created October 19, 2017 03:34 — forked from peterroelants/mnist_estimator.py

Example using TensorFlow Estimator, Experiment & Dataset on MNIST data.

	"""Script to illustrate usage of tf.estimator.Estimator in TF v1.3"""
	import tensorflow as tf

	from tensorflow.examples.tutorials.mnist import input_data as mnist_data
	from tensorflow.contrib import slim
	from tensorflow.contrib.learn import ModeKeys
	from tensorflow.contrib.learn import learn_runner


	# Show debugging output

damienpontifex / tf-experiment-template.py

Last active December 11, 2025 01:00

A template for a custom tensorflow estimator and experiment with python3 typings for desired parameter types

	import argparse
	import psutil
	import tensorflow as tf
	from typing import Dict, Any, Callable, Tuple

	## Data Input Function
	def data_input_fn(data_param,
	batch_size:int=None,
	shuffle=False) -> Callable[[], Tuple]:
	"""Return the input function to get the test data.

peterroelants / mnist_estimator.py

Last active February 14, 2024 11:26

Example using TensorFlow Estimator, Experiment & Dataset on MNIST data.

	"""Script to illustrate usage of tf.estimator.Estimator in TF v1.3"""
	import tensorflow as tf

	from tensorflow.examples.tutorials.mnist import input_data as mnist_data
	from tensorflow.contrib import slim
	from tensorflow.contrib.learn import ModeKeys
	from tensorflow.contrib.learn import learn_runner


	# Show debugging output

teamdandelion / labels_1024.tsv

Last active February 6, 2024 08:33

TensorBoard: TF Dev Summit Tutorial

We can make this file beautiful and searchable if this error is corrected: No tabs found in this TSV file in line 0.

	7
	2
	1
	0
	4
	1
	4
	9
	5
	9

benwu232 / tf_restore.py

Created February 8, 2017 07:11

Show how to restore model, parameters, inputs and outputs

	import tensorflow as tf

	tf.GraphKeys.USEFUL = 'useful'

	saver = tf.train.import_meta_graph("./model_ex1.meta")
	sess = tf.Session()
	saver.restore(sess, "./model_ex1")

	var_list = tf.get_collection(tf.GraphKeys.USEFUL)
	v1 = var_list[0]

floriandotpy / optimize.py

Created October 5, 2016 08:46

Hyperopt script for Tensorflow model

	#!/usr/bin/python3

	from cnn import cnn
	import hyperopt


	def objective(args):

	params = cnn.ExperimentParameters()

siemanko / tf_lstm.py

Last active November 22, 2025 10:34

Simple implementation of LSTM in Tensorflow in 50 lines (+ 130 lines of data generation and comments)

	"""Short and sweet LSTM implementation in Tensorflow.

	Motivation:
	When Tensorflow was released, adding RNNs was a bit of a hack - it required
	building separate graphs for every number of timesteps and was a bit obscure
	to use. Since then TF devs added things like `dynamic_rnn`, `scan` and `map_fn`.
	Currently the APIs are decent, but all the tutorials that I am aware of are not
	making the best use of the new APIs.

	Advantages of this implementation:

sw ningyuwhut

Factorised RankNet TensorFlow Implementation

TensorFlow Best Practices as of Q1 2018

Preface