A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

machine-learning visual-studio ai csharp neural-network cuda cnn supervised-learning gpu-acceleration netstandard convolutional-neural-networks gradient-descent net-framework backpropagation-algorithm classification-algorithims

• Updated Dec 8, 2022
• C#

Learning to create Machine Learning Algorithms

machine-learning-algorithms datascience naive-bayes-classifier logistic-regression support-vector-machine polynomial-regression decision-tree-classifier dataprocessing classification-algorithims random-forest-regressor support-vector-regression multiple-regression decision-tree-regression k-means-implementation-in-python k-means-clustering kernel-svm random-forest-classifier simple-linear-regression k-nearest-neighbors machine-learning-az

• Updated Jun 15, 2021
• Python

A MATLAB toolbox for classifier: Version 1.0.7

linear-regression pca classification src face-recognition support-vector-machines manifold sparse-coding dictionary-learning matlab-toolbox principal-component-analysis covariance-matrix eigenfaces linear-discriminant-analysis subspace spd classification-algorithims manifold-optimization symmetric-positive-definite

• Updated Jan 5, 2023
• MATLAB

Slides and Python code examples for undergraduate machine learning

data-science machine-learning clustering classification-algorithims regression-algorithms

• Updated Apr 17, 2022
• Jupyter Notebook

PyTorch implementation of Metric-Guided Prototype Learning for hierarchical classification.

machine-learning deep-learning taxonomy pytorch classification machinelearning deeplearning hierarchical hierarchical-models classification-algorithims taxonomic-classification

• Updated Oct 20, 2021
• Jupyter Notebook

Binary Classification for detecting intrusion network attacks. In order, to emphasize how a network packet with certain features may have the potentials to become a serious threat to the network.

machine-learning ai deep-learning random-forest sklearn python3 logistic-regression pickle network-analysis network-security classification-algorithims knn-classification voting-classifier xgboost-algorithm stacking-ensemble decsion-tree

• Updated Dec 19, 2021
• Jupyter Notebook

The aim to decrease the maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, and tuning on a user defined cost metric (function of true positives, false positives and false negatives predicted) & productionising the model using pipelines.

pipeline cross-validation classification-algorithims sklearn-metrics randomizedsearchcv train-validation-test smote-sampling random-under-sampling

• Updated Jan 20, 2022
• Jupyter Notebook

Codes and templates for ML algorithms created, modified and optimized in Python and R.

feature-selection datascience feature-extraction thompson-sampling dimensionality-reduction ucb ann regression-models nlp-machine-learning kmeans-clustering apriori-algorithm hierarchical-clustering classification-algorithims parameter-tuning regression-algorithms xgboost-model kfold-cross-validation cnn-classification eclat-algorithm

• Updated Mar 28, 2020
• Python

Dataset Analysis & CNN Models Optimization for Plant Disease Classification.

computer-science data-science deep-neural-networks computer-vision deep-learning neural-network neural-networks convolutional-neural-networks classification-algorithims plant-disease-detection plant-pathology-fgvc7 plant-disease-classification

• Updated Nov 12, 2021
• HTML

This project is to test classification algorithms wrote from scratch in python using only numpy. Algorithms wrote in this project: KNN, Logistic Regression and Naive Bayes classifier.

machine-learning classification breast-cancer-wisconsin classification-algorithims

• Updated Jul 23, 2017
• Jupyter Notebook

API-First approach to make Machine Learning solution usable

restful venv flask-backend api-first titanic-survival-prediction classification-algorithims machine-learning-projects

• Updated Jan 26, 2019
• Jupyter Notebook

Multi-class classification model for predicting the types of crimes in Toronto

python data-science machine-learning scikit-learn pandas classification-algorithims urban-analytics crime-prediction

• Updated Mar 4, 2024
• Python

Compare Naive Bayes, SVM, XGBoost, Bagging, AdaBoost, K-Nearest Neighbors, Random Forests for classification of Malaria Cells

machine-learning random-forest naive-bayes-classifier xgboost boosting-algorithms svm-classifier classification-algorithims bagging knn-classification statistical-machine-learning malaria-detection

• Updated Jun 5, 2019
• Jupyter Notebook

This repo is created to perform I/O Request Packet (IRP) driven ransomware analysis where the IRP logs were collected during ransomware execution.

data-science machine-learning ransomware time-series-analysis classification-algorithims ransomware-detection ransomware-mitigation pattern-mining sequence-mining

• Updated Aug 14, 2020
• Python

Implementing a PointNet based architecture for classification and segmentation with point clouds. Q1 and Q2 focus on implementing, training and testing models. Q3 asks you to quantitatively analyze model robustness.

point-cloud pytorch pointcloud classification-algorithims classification-model point-cloud-segmentation pointcloudprocessing pointcloud-segmentation pytorch3d

• Updated Mar 4, 2024
• Python

An R package for Private Evaporative Cooling feature selection and classification with Relief-F and Random Forests

randomforest classification-algorithims relief-f evaporativecooling

• Updated May 20, 2020
• R

Implementation of Google Quick Draw doodle recognition game in PyTorch and comparing other classifiers and features.

computer-vision random-forest pytorch naive-bayes-classifier xgboost svm-classifier classification-algorithims bagging knn-classification quick-draw

• Updated Jun 10, 2019
• Jupyter Notebook

Git repository for IBM Professional Certification on Data Science

data-science jupyter-notebook coursera data-visualization python3 data-analysis ibm kmeans-clustering coursera-data-science classification-algorithims regression-algorithms data-scientist

• Updated Jan 1, 2020
• Jupyter Notebook

Coursera - Deep Learning Specialization - deeplearning.ai

deep-learning neural-network tensorflow keras coursera recurrent-neural-networks batch-normalization convolutional-neural-networks gradient-descent hyperparameter-tuning andrew-ng classification-algorithims mini-batch-gradient-descent neural-style-transfer deeplearning-ai yolov3 machine-learning-case-study

• Updated Apr 9, 2019
• HTML

Classification in Hyperspectral Images using Naive Bayes, minimum Euclidean Distance & k-NN. Machine learning projects implemented in MATLAB.

machine-learning matlab classification-algorithims

• Updated Oct 31, 2020
• MATLAB