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135 search results found

Machine Learning Notebooks ⭐ 9

The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.

Support Vector Machine ⭐ 9

An implementation of the L2-SVM for breast cancer detection using the Wisconsin diagnostic dataset.

Foundationalml ⭐ 9

Beginner's guide to Machine Learning. Notebooks, blogs, resources and tracks to help anyone get started.

Emotion Recognition Smartwatch ⭐ 9

Data set and source code used in "Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study."

Keyphraseextraction ⭐ 9

Keyphrase Extraction Review

Real Time Ids ⭐ 8

Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (Random forest) for detecting known attacks from CICIDS 2018 & SCVIC-APT datasets, and Unsupervised Learning (Auto encoders) for anomaly detection.

Breast Cancer Diagnosis Using Machine Learning ⭐ 8

Machine learning is widely used in bioinformatics and particularly in breast cancer diagnosis. In this project, certain classification methods such as K-nearest neighbors (K-NN) and Support Vector Machine (SVM) which is a supervised learning method to detect breast cancer are used.

Learn Ai In 30 Days ⭐ 8

2022年iThome鐵人賽「AI & Data」組佳作【新手也能懂得AI-深入淺出的AI課程】完整程式碼，該文章會從安裝Python開始到

The Math Of Intelligence ⭐ 8

Implementation of Artificial Intelligence models without using any blackbox or libraries 😎

Malware Detection Using Supervised Machine Learning Algorithm ⭐ 8

Neural Network with external Cognitive Neural Memory (2018)

Machine Learning ⭐ 8

Basic Machine Learning Tutorial

End-to-end python-based supervised machine learning pipeline for ML-augmented nuclear data evaluation.

Multifactorial Immune Response ⭐ 7

Multifactorial modeling of response to checkpoint inhibitor immunotherapy from tumor, immune, and clinical features

Disaster Response Pipeline ⭐ 7

ETL pipeline combined with supervised learning and grid search to classify text messages sent during a disaster event

Nih Chest X Rays Multi Label Image Classification In Pytorch ⭐ 7

Multi-Label Image Classification of Chest X-Rays In Pytorch

Confidence Planner ⭐ 7

A Python library for estimating confidence intervals around accuracy and sample sizes for classification experiments.

Machine Learning Labs ⭐ 7

📒 My solutions to practice labs in Machine Learning Specialization by Andrew Ng. I hope it will be helpful.

Machine Learning ⭐ 7

Fundamentals & projects

And The Award Goes To ⭐ 7

Oscar prediction with classification algorithms

Image and text annotation with Telegram

Machine_learning ⭐ 7

Machine learning is the sub-field of Computer Science, that gives Computers the ability to learn without being explicitly programmed (Arthur samuel, American pioneer in the field of Computer gaming and AI , coined the term Machine Learning in 1959, while at IBM )

Timing Comparisons for Supervised Learning of a Classifier

Python machine learning library using powerful numerical optimization methods.

Coding Ninjas Machine Learning ⭐ 6

Code written while learning and implementing machine learning algorithms during the course at coding ninjas

Mixmatch.pytorch ⭐ 6

Unofficial pytorch implementation for "MixMatch: A Holistic Approach to Semi-Supervised Learning"

Domain-Agnostic Supervised Learning with Hyperdimensional Computing

Pred_finance ⭐ 6

stock price prediction using machine learning

Machine Learning Algorithms From Scratch ⭐ 6

This repository gathers the essential Machine Learning algorithms coded from scratch using only numpy and sklearn

Khiops Python ⭐ 6

The official Python library for the Khiops AutoML suite

Analytic Projects In Python Eda ⭐ 6

There are several exploratory data analysis (EDA) analyzes in this file. More data analytics and business approached than machine learning.

Personal Bank Loan Modeling Classification Analysis ⭐ 5

Supervised Machine Learning Analysis Using Classification Models

Supervised Snn With Gd ⭐ 5

A supervised learning algorithm of SNN is proposed by using spike sequences with complex spatio-temporal information. We explore an error back-propagation method of SNN based on gradient descent. The chain rule proved mathematically that it is sufficient to update the SNN’s synaptic weights by directly using an optimizer. Utilizing the TensorFlow framework, a bilayer supervised learning SNN is constructed from scratch. We take the lead in the application of SAR image classification and conduct

Dsmt Nets ⭐ 5

👓📡 Distantly Supervised Multitask Networks (DSMT-Nets) are a deep-learning approach to semi-supervised learning that utilises distant supervision through many auxiliary tasks.

Physics-Based Deep Learning for Fiber-Optic Communication Systems

Torchwisdom ⭐ 5

High level API for training deep learning model in PyTorch

Spotify Api ⭐ 5

Introducing "spotify-recommender-api", a pip package that uses an adaptation of the KNN algorithm to make personalized song recommendations for users. It analyzes your Spotify listening stats and suggests new tracks you may enjoy, and also clusters similar songs on a big playlist in order to help one find songs that play well in a smaller playlist

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