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: about 2 months 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: 3 months 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: 4 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: 4 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: 4 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: 2 months ago - Pushed at: 2 months 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

aprotsenko24/Neural-Network-Digit-Recognizer
Over several weeks, I manually implemented every stage of a convolutional neural network using only NumPy—without relying on TensorFlow or PyTorch. The network uses Xavier and He initialization, supports both Leaky ReLU and standard ReLU activations, and applies L2 regularization with exponential learning rate decay to improve generalization.
Language: Python - Size: 29.3 KB - Last synced at: about 7 hours ago - Pushed at: about 8 hours ago - Stars: 0 - Forks: 0

vansh-py04/Convolution-Net-from-Scratch
A minimal NumPy-based implementation of a 3-layer convolutional neural network (CNN) from scratch — including custom forward and backward passes for conv, ReLU, pooling, affine, and softmax layers. Perfect for learning how CNNs actually work under the hood.
Language: Jupyter Notebook - Size: 271 KB - Last synced at: 28 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

Compulytics/Python_RSA_Implementation
RSA Keygen
Language: Python - Size: 9.77 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

rosasbehoundja/MLScratch
Machine learning algorithms implemented from scratch
Language: Python - Size: 38.1 KB - Last synced at: 2 months ago - Pushed at: 2 months 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: 4 months ago - Pushed at: 10 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: 10 months ago - Pushed at: 10 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: 4 months ago - Pushed at: about 1 year 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: over 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: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
