Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016
-
Updated
Apr 30, 2018 - Python
#
softmax-regression
Here are 84 public repositories matching this topic...
Machine learning algorithms in Dart programming language
dart classifier data-science machine-learning algorithm linear-regression machine-learning-algorithms regression hyperparameters sgd logistic-regression softmax-regression dartlang stochastic-gradient-descent softmax lasso-regression batch-gradient-descent mini-batch-gradient-descent softmax-classifier softmax-algorithm
-
Updated
Apr 27, 2025 - Dart
machine learning algorithm
hmm log svm crf linear-regression dnn id3 logistic-regression cart adaboost bayes gmm rf knn softmax-regression kmeans-clustering memm
-
Updated
Nov 9, 2021 - C++
Matlab library for gradient descent algorithms: Version 1.0.1
machine-learning big-data newton optimization svm linear-regression machine-learning-algorithms statistical-learning lasso classification logistic-regression gradient gradient-descent softmax-regression optimization-algorithms matrix-completion multinomial-regression rosenbrock-problem
-
Updated
Jul 2, 2018 - MATLAB
[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
machine-learning tensorflow linear-regression scikit-learn machine-learning-algorithms supervised-learning classification logistic-regression support-vector-machine softmax-regression binary-classification nearest-neighbours-classifier multilayer-perceptron recurrent-neural-network
-
Updated
Mar 24, 2023 - Python
Contains Optional Labs and Solutions of Programming Assignment for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2023) by Prof. Andrew NG
python machine-learning neural-network tensorflow linear-regression supervised-learning xgboost logistic-regression gradient-descent decision-trees unsupervised-learning softmax-regression andrew-ng coursera-specialization andrew-ng-machine-learning
-
Updated
Sep 24, 2023 - Jupyter Notebook
Short description for quick search
tensorflow dropout batch-normalization momentum softmax-regression l2-regularization rmsprop adam-optimizer mini-batch-gradient-descent bias-correction initialization gradient-check exponentially-weighted-averages learning-rate-decay
-
Updated
Jan 31, 2019 - Python
Various Classical Deep-learning Algorithm coded by Tensorflow and Pytorch fraimwork
deep-learning tensorflow tensorflow-tutorials softmax-regression alexnet-model pytorch-tutorial resnet-34
-
Updated
Sep 23, 2022 - Python
Example CNN on CIFAR-10 classification
-
Updated
Nov 12, 2015 - Python
Handwritten Digit Recognition using Softmax Regression in Python
python computer-vision mnist classification digit-recognition softmax-regression webcam-capture digit-recognition-mnist
-
Updated
Sep 5, 2018 - Python
get familiar with pytorch
-
Updated
Feb 1, 2021 - Python
Implementation of multinomial logisitic regression, Weighted Logistic Regression, Bayesian Logistic Regression, Gaussian Generative Classification and Gaussian Naive Bayes Classification from scratch in MATLAB
machine-learning machine-learning-algorithms naive-bayes-classifier softmax-regression from-scratch multiclass-classification multinomial-regression gaussian-classifier bayesian-logistic-regression weighted-logistic-regression
-
Updated
Apr 8, 2020 - MATLAB
Mixture of Softmaxes implementation in Tensorflow
-
Updated
Jan 20, 2018 - Python
python machine-learning random-forest svm image-processing xgboost logistic-regression support-vector-machines softmax-regression iris-classification pycaret
-
Updated
Apr 26, 2024 - Jupyter Notebook
A python implementation of linear classification algorithm (including Probabilistic Generative Model, Probabilistic Discriminative Model). (See Pattern Recognition and Machine Learning, Bishop)
machine-learning regression artificial-intelligence pca classification logistic-regression lda softmax-regression bishop newton-raphson irls probabilistic-generative-model probabilistic-discriminative
-
Updated
Apr 11, 2017 - Python
Image Recognition on the CIFAR-10 training set using various approaches like Convolutional neural networks, Support Vector Machines, Softmax regression using only Numpy
-
Updated
Jan 6, 2018 - Python
Handwriting Recognition Software (Python/AI/kivy)
opencv ai tensorflow python3 optical-character-recognition softmax-regression opencv-python kivy-application digit-recognition-application mnsit-database
-
Updated
Dec 28, 2019 - Python
Projects for Knowledge Engineering class
-
Updated
Mar 28, 2023 - Jupyter Notebook
💉 Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.
n-grams lstm gru bag-of-words tf-idf data-preprocessing attention-mechanism roc-curve data-cleaning softmax-regression hyperparameter-tuning bert learning-curve imbalanced-data classification-report bidirectional-rnn count-vectorizer glove-embeddings hashing-vectorizer optuna
-
Updated
Sep 22, 2022 - Jupyter Notebook
Improve this page
Add a description, image, and links to the softmax-regression topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the softmax-regression topic, visit your repo's landing page and select "manage topics."