mydarapy Goto Github PK

alexnet-implementation

This repository contains an implementation of the AlexNet convolutional neural network (CNN) architecture using the Pytorch framework. The model is trained on a dataset consisting of images of cats and dogs, with the objective of classifying images into these two categories.

cereals-eda-and-data-modelling-

convnets-on-cifar10

Training a convolutional neural network to identify images in the Cifar10 dataset. Test accuracy: 81.95%

docker-part-1-

employee-attribution-eda

Stutern Intermediate Project

english-to-french-neural-machine-translation

translating English sentences to French using a seq2seq model that learns to encode the source sequences (English) into a fixed context vector C and passing C into a decoder that predicts that the next word translation in the output sequence. LSTM hidden units were used to capture long term dependencies. Dataset: WMT'14 (en-fr) from HuggingFace

gsoc

InVesalius Repository

intermidate-project-

Stutern Intermidate Project

invesalius3

3D medical imaging reconstruction software

mydarapy

Config files for my GitHub profile.

named-entity-recognition-in-clinical-texts-using-nlp-techniques

using a pretrained ML model to identify and extract named entities (drugs and dosage) from a medical corpus of clinical text

neuralnetworks

Implementing neural networks

real-estate-in-nigeria-analysis-and-preds-

roadwatch--car-detection-and-tracking-

This repository contains a car detection and tracking software implemented using YOLOv8 for object recognition and classification, along with DeepSORT for tracking. The model is capable of detecting cars, buses, trucks, and trains in real-time video streams. This model combines state-of-the-art object detection and tracking techniques.

skip-gram-language-model-word2vec-

This project implements the Skip gram language model from scratch that computes the embedding vector for the different texts/words in the Brown Corpus