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@bwhite
bwhite / rank_metrics.py
Created September 15, 2012 03:23
Ranking Metrics
"""Information Retrieval metrics
Useful Resources:
http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
http://www.nii.ac.jp/TechReports/05-014E.pdf
http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
Learning to Rank for Information Retrieval (Tie-Yan Liu)
"""
import numpy as np
@fperez
fperez / SimpleNeuralNets.ipynb
Last active April 19, 2022 18:52
Notes for "Why does deep and cheap learning work so well?" (ArXiv:1608.08225v1/cond-mat.dis-nn) by Lin and Tegmark.
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@gcusso
gcusso / CoordConvLayer.py
Last active August 8, 2021 04:14
Extracted CordConvs tensorflow implementation from (An intriguing failing of convolutional neural networks and the CoordConv solution) https://arxiv.org/pdf/1807.03247.pdf
from tensorflow.python.layers import base
import tensorflow as tf
class AddCoords(base.Layer):
"""Add coords to a tensor"""
def __init__(self, x_dim=64, y_dim=64, with_r=False):
super(AddCoords, self).__init__()
self.x_dim = x_dim
self.y_dim = y_dim
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@akashpalrecha
akashpalrecha / an-inquiry-into-matplotlib-figures.ipynb
Last active December 27, 2024 14:38
An Inquiry into Matplotlib's Figures, Axes, subplots and the very amazing GridSpec!
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