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Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
Deep Neural Networks for Call Of Duty Modern Warfare 2019
🍊 :package: Frequent itemsets and association rules mining for Orange 3.
Code for "Unsupervised Adaptation for Deep Stereo" - ICCV17
Generate a Work Breakdown Structure (WBS) report from a markdown file. A tool that improves software development estimates.
Minimal A/B Testing Library in PHP
Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"
An open source initiative to help students prepare for HR interviews.
A comprehensive module used to calculate the high bound, low bound, and center of a Wilson score interval.
A suite of tests to assess attention faithfulness for explainability
My Gateway to crack DSA
A General Algorithm to Enhance the Performance of Variable Selection Methods in Correlated Datasets
Prediction intervals for trees using conformal intervals. Docs at https://pitci.readthedocs.io/en/latest/
I implemented the reinforcement learning based model Upper Confidence Bound in both Python and R
Implementation of the Apriori algorithm in python, to generate frequent itemsets and association rules. Experimentation with different values of confidence and support values.
A rule-based classification approach called Associative Classification (AC) normally constructs accurate classifiers from supervised learning data sets in data mining
Source code of "Calibrating Large Language Models Using Their Generations Only"
How to structure technical presentations and deliver them with confidence
Open source alternative to Amazon's Rekognition
Temperature scaling for neural network calibration
A list of challenges to overcome fear of rejection ✋
This repository contains introductory notebooks for association rules.
Algorithm in python to determine how many people had stroke by age using linear regression
Resources related to placement including statistics and books for reading and cracking interviews
[DEPRECATED] Configuration resolver using confidence and shortstop.
Data Analytics in the E-Commerce Industry [Volume 3]
Code employed to analyse data from experiment 'Confidence dynamics in perceptual decision making'