Hafiz Muhammad Zohaib (ZohaibRamzan)

ZohaibRamzan

Geek Repo

Company:University of Rostock

Location:Rostock, Germany

Home Page:linkedin.com/in/zohaib-r

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Hafiz Muhammad Zohaib's repositories

Youtube_Content_Creation

In this repo, all the content I create for my youtube audience is placed. St that they can easily replicate my thoughts in their work.

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Mastering-Langchain-tutorials

Thisrepo is intended to learn langchain fundamentals and its use in different applications.

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AGGCN

Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

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Automatic-Relation-Extraction-from-Scientific-Wet-lab-Protocols

This repository is being prepared for information extraction/relation extraction between the entities that appear in Wet-lab Protocols. Wet-lab Protocols are the instruction that researchers follow while conducting an experiment in biological or chemical laboratory.

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Context-based-Classification-of-Software-Mentions-in-Scientific-Data

To classify the Software Mentions appearing in text data , extracted from Bio medical and Social Sciences articles or research papers. Also To provide basis for building Software Knowledge Graph

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DataStructuresInPython

This repository is intended to revise Data Structures implementation with python Code. It includes the following implementations: 1- Linked-List 2- Binary Search Tree

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Food-Products-Categorization-using-Clustering-Algorithm

In this project, we used unsupervised method to categorize the Food items. For this purpose, I used Natural Language Processing for feature extraction and implemented K-Means Clustering to group the similar items together.

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Sentiment-Analysis-using-LSTM-tensorflow

In this implementation, i have done sentiment analysis of Movies reviews from imdb dataset with LSTM using Keras API of Tensorflow.

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Time-Series-Forecasting-using-Scikit-learn

In this Task, i have done time series forecasting for Energy Consumption using Classical Machine Learning Algorithms (Random Forest Regressor, SV Regressor, KNN Regressor). Also i tried to explore how to do cross-validation with time series data with different time dependent features.

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streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

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