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GitHub topics: algorithm-from-scratch

Sarthak-Mohapatra/Building-Algorithm-from-scratch-for-prediction-of-Average-GPU-run-time-and-classifying-the-run-type.

As part of this project, I have developed algorithms from scratch using Gradient Descent method. The first algorithm developed will be used to predict the average GPU Run Time and the second algorithm will be used to classify a GPU run process as high or low time consuming process.

Language: R - Size: 3.33 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

golecalicja/perceptron-classification

Perceptron algorithm for classification implemented from scratch

Language: Python - Size: 13.7 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

golecalicja/language-recognition-neural-network

A single-layer neural network written from scratch that predicts the language of the text.

Language: Python - Size: 1.82 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

golecalicja/k-means-from-scratch

K-means clustering algorithm in Python

Language: Jupyter Notebook - Size: 3.91 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

golecalicja/knn-iris-classification

K-nearest neighbors algorithm implemented from scratch in Python, tested on iris dataset.

Language: Jupyter Notebook - Size: 1.25 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1