Topic: "from-scratch-in-python"
Pegah-Ardehkhani/One-Hidden-Layer-Neural-Network-From-Scratch
"One Hidden Layer Neural Network" from Scratch
Language: Jupyter Notebook - Size: 878 KB - Last synced at: 10 days ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0

sheikhartin/farr
A brand new programming language designed for developers with diverse coding interests! Yes, it's free to star 🌟!
Language: Python - Size: 148 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

Pegah-Ardehkhani/CNN-From-Scratch
"CNN" from Scratch
Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

Pegah-Ardehkhani/Deep-Neural-Network-From-Scratch
"Deep Neural Network" from Scratch
Language: Jupyter Notebook - Size: 3.89 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

Pegah-Ardehkhani/LogisticRegression-From-Scratch
"Logistic Regression" from Scratch
Language: Jupyter Notebook - Size: 2.86 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

Guille-ux/ZynkPy
ZynkPy is an Interpreted programming language and a Compiled (because i'm going to support that i the future)
Language: Python - Size: 246 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0

yuliya-akchurina/KNN_from_scratch
Write the K Nearest Neighbors classifier from scratch in Python. Test it on email spam classification dataset.
Language: Python - Size: 265 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

rosasbehoundja/MLScratch
Machine learning algorithms implemented from scratch
Language: Python - Size: 38.1 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

2003HARSH/Transformer-based-Decoder-only-Language-Model
This repository explores building a character-level transformer decoder in PyTorch, similar to GPT while focusing more on understanding individual components. My goal is to gain deep transformer knowledge and see if character-level learning improves handling of unseen words. The code allows for hyperparameter tuning and experiment customization.
Language: Jupyter Notebook - Size: 74.3 MB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

marius-florea/nn-zero-to-hero
Neural Networks: Zero to Hero
Language: Roff - Size: 2.05 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

VoIDWALkER7/MNIST
MNIST Digit Detector Model using only Numpy
Language: Jupyter Notebook - Size: 28.3 KB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

hautran7201/skip_gram_for_document_classification
Language: Python - Size: 79.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

paulinamoskwa/from-scratch
Collection of implementations from scratch (mostly ML)
Language: Jupyter Notebook - Size: 1.92 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

yilmaz0734/harris-detector-from-scratch
Includes the codes and report for Take Home Exam 2 of the CENG483 course (Introduction to Computer Vision). The purpose of this THE is to gain insight related to harris interest point detection.
Language: Jupyter Notebook - Size: 8.03 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

yilmaz0734/histogram-from-scratch
Includes the codes and report for Take Home Exam 1 of the CENG483 course (Introduction to Computer Vision). The purpose of the THE is familiarize ourselves with the concept of various types of histogram.
Language: Jupyter Notebook - Size: 165 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

siddikayyappa/PCA-Regression-Nearest-Neighbours
This is the source code of the work for Assignment-2, Statistical Methods in AI, 5th Semester, IIITH, '22
Language: Jupyter Notebook - Size: 1.88 MB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
