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Gorkem Ozkaya gorkemozkaya

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@ceshine
ceshine / run_tf_glue.ipynb
Last active February 23, 2020 18:50
Train huggingface/transformers BERT model on Colab CPU with TF 2.1
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@yoyama
yoyama / Schema2CaseClass.scala
Created January 20, 2017 07:36
Generate case class from spark DataFrame/Dataset schema.
/**
* Generate Case class from DataFrame.schema
*
* val df:DataFrame = ...
*
* val s2cc = new Schema2CaseClass
* import s2cc.implicit._
*
* println(s2cc.schemaToCaseClass(df.schema, "MyClass"))
*
@siemanko
siemanko / tf_lstm.py
Last active July 26, 2023 06:57
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:
@MatsuuraKentaro
MatsuuraKentaro / model.stan
Last active March 5, 2024 06:08
Tweedie distribution in Stan
data {
int N;
int M;
real<lower=0> Y[N];
}
parameters {
real<lower=0> mu;
real<lower=0> phi;
real<lower=1, upper=2> theta;
anonymous
anonymous / dump_weights_hdf5.py
Created December 8, 2015 20:44
# Copyright 2015 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
@karpathy
karpathy / min-char-rnn.py
Last active July 24, 2024 18:36
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np
# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)
@soumith
soumith / gist:e3f722173ea16c1ea0d9
Created June 22, 2015 21:34
CIFAR-10 eyescream
----------------------------------------------------------------------
-- CIFAR 8x8
opt.scale = 8
opt.geometry = {3, opt.scale, opt.scale}
local input_sz = opt.geometry[1] * opt.geometry[2] * opt.geometry[3]
local numhid = 600
model_D = nn.Sequential()
model_D:add(nn.Reshape(input_sz))
model_D:add(nn.Linear(input_sz, numhid))
model_D:add(nn.ReLU())
@tyrcho
tyrcho / README.md
Last active February 7, 2018 01:35
Sample pom.xml for scala 2.11 in Eclipse
@eskriett
eskriett / GoogleMapDownloader.py
Last active June 6, 2024 17:31
A python script to download high resolution Google map images given a longitude, latitude and zoom level.
#!/usr/bin/python
# GoogleMapDownloader.py
# Created by Hayden Eskriett [http://eskriett.com]
#
# A script which when given a longitude, latitude and zoom level downloads a
# high resolution google map
# Find the associated blog post at: http://blog.eskriett.com/2013/07/19/downloading-google-maps/
import urllib
import Image