An implementation of trigger word detection using keras, for detecting digits spoken in an audio

Precision 과 Recall 에 대한 이해를 돕고자 작성한 자료입니다.

An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses. The company markets its courses on several websites and search engines like Google. Once these people land on the website, they might browse th…

C++ math library for tracking significant digits during calculations.

Python module providing an easy way to set the precision of a floating-point number to the desired amount of decimal places, or total amount of significant digits.

Comparing the performance of MLP (multilayer perceptron) and CNN (convolutional neural network) on USPS dataset and visualizing it via TensorBoard.

Build repository for brambox - https://gitlab.com/eavise/brambox

Better multi-class confusion matrix plots for Scikit-Learn, incorporating per-class and overall evaluation measures.

Natural logarithm of 2.

An attempt at the network anomaly detection task using manually implemented k-means, spectral clustering and DBSCAN algorithms, with manually implemented evaluation metrics (precision, recall, f1-score and conditional entropy) used to evaluate these algorithms.

This is a little helper for dealing with the tedious task of formatting output of time-measurements.

+-*/ arithmetical ops done precisely in JavaScript

Information retrieval evaluation. Done as part of academics.

💻Anomaly detection can be 👨‍💻treated as a statistical📉 task as an outlier analysis📊. But if we develop a machine learning model📈, it can be automated and as usual, can save a lot of time🕐

for value precision

Notes et cetera

Compare preconditioned conjugate gradient algorithm with different sparse matrices, floating point precision levels, and implementations

[AIIM] Recall & Precision results of the UTA7 statistical analysis.