Detect public transport modes using different ML models.
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Updated
Jun 17, 2022 - Python
Detect public transport modes using different ML models.
Machine Learning Model to predict student graduation grade
Repository riset untuk Minggu 1 Bulan Oktober
Very useful image related utilities
Evaluation for object detection models
my implementation calculate precision, recall, f1, accuracy, and GLEU score
A library that helps you evaluate the performance of annotator systems, for example. Calculates evaluation metrics like precision, recall and F1-score.
Directing Sentiment and Evoking Recall in GPT-2 from an Attention Bock Based Persistent Memory using a Small Fraction of One Layer and a Case for the Spacial Separation of what might be described as Emotional Implicit Memory and Explicit Memory
A repository to understand ranking metrics as described by Musgrave et al. (2020). Plus some other metrics utilising confidence values.
Program where you can draw patterns in an nxn grid. Afterwards you can store and recall them using a Hopfield network.
Evaluation and agreement scripts for the DISCOSUMO project. Each evaluation script takes both manual annotations as automatic summarization output. The formatting of these files is highly project-specific. However, the evaluation functions for precision, recall, ROUGE, Jaccard, Cohen's kappa and Fleiss' kappa may be applicable to other domains too.
Accurately predicting companies' future failure with Python.
Precision-recall-gain for Python
⬅️📽️ App inspired by Windows Recall for creating duplicate screenshots with text recognition and the ability to search through screenshots.
This code build up a predicting model use the Machine learning algorithms such as Decision Tree, k-Nearest Neighbors etc. on the Vehicle to predict the departure action
This is an open surce alternative at microsof recall and at OpenRecall (sorry... but OpenRecall isn't working on my waylnad KDE Arhc linux)
This is a web based elective course recommender system implemented with flask and Sklearn
强化学习算法ddpg解决推荐系统中的召回问题
Better multi-class confusion matrix plots for Scikit-Learn, incorporating per-class and overall evaluation measures.
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