mahmuudtolba Goto Github PK

autoencoder

building customizing autoencoder

bostonhousepricing

car-obejct-detection-fasterrcnn

car-price-prediction

Being able to predict a car price and understand what features has more impact of the price

churn-prediction

emotion-classification

classifying emotion based on text using distilbert transformer using hugging face

graduation_project_demo

ACTION RECOGNITION with Python

human-action-recognition

linear-regression-using-spark

machine-learning-from-scratch

machnie-learning-from-scratch

masked-language-modeling

maskedblur-instance-segmentation-for-human-privacy

employs a state-of-the-art Mask R-CNN (Region-based Convolutional Neural Network) model for precise instance segmentation. This model accurately identifies and isolates individual instances of human subjects within a given visual scene, effectively creating a detailed mask that delineates human presence.

pyspark-with-python

pytorch-chatbot

practice pytorch

pytorch-chatbot-1

Simple chatbot implementation with PyTorch.

rnn-encoder-decoder-for-statistical-machine-translation

The RNN Encoder-Decoder architecture is a fundamental framework used in various sequence-to-sequence tasks such as machine translation German to English., where it encodes an input sequence into a fixed-size vector representation and then decodes this representation into an output sequence.

salary-prediction-classification

Our goal here is to understand the data as much as possible , comparing different models of different companies, asking some questions that will allow us to understand the data beter and predict if the salary whether less than 50K or greater than 50K ?

testing-github-actions

text-generation