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25 search results found
Cs231n 2017 Summary
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1,118
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.
Ml Course
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168
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Ml_equations_latex
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168
Classical ML equations in Latex, helps paper and blog writing
Machine_learning_2018
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146
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
Enctc.crnn
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83
Project for Connectionist Temporal Classification with Maximum Entropy Regularization.
Adamw Pytorch
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78
Implementation and experiments for AdamW on Pytorch
Masker
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51
MASKER: Masked Keyword Regularization for Reliable Text Classification (AAAI 2021)
Onlinelabelsmoothing
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45
The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021
The Deep Learning With Keras Workshop
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40
An Interactive Approach to Understanding Deep Learning with Keras
Cs345
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18
Jupyter
Simple Implementation Of Ml Algorithms
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17
My simplest implementations of common ML algorithms
Campaign Critic
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16
A web app that helps Kickstarter creators increase their chances of being funded
Machine_learning_from_scratch
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15
Machine Learning models from scratch with a better visualisation
Machine Learning Bookcamp 2022
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15
Solutions for the Machine Learning Zoomcamp 2022 by DataTalks.Club.
Predicting Baseball Statistics
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14
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn
Arow_csc
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13
Cost-sensitive multiclass classification with Adaptive Regularization of Weights
Pyridge
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11
Supervised Ridge classification. Machine learning algorithms applied to classification machine learning problems
Lddg
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10
The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization' NIPS 2020.
Elmnet
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9
Regularized and Pruned Extreme Learning Machines in R
Icm Matcaffe
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8
Scene Parsing via Integrated Classification Model and Variance-Based Regularization (Matlab&Caffe), In CVPR 2019
Logistic Regression Classifier With L2 Regularization
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7
Logistic regression with L2 regularization for binary classification
Machine_learning
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7
Machine Learning - Coursera.org
Tenet_training
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6
This is an official pytorch implementation of 'Group-wise Inhibition based Feature Regularization for Robust Classification' (ICCV 2021 accepted paper). p.s.: The current repository is the version originally submitted to CMT as supplementary materials.
Anomaly Detection
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5
Easy to understand classification problem from a highly skewed kaggle dataset. Solved using logistic regression and SVM, code inspired from top contributor.
Gcn.pytorch
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5
Graph Convolutional Networks for Text Classification.
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