ZohaibRamzan
I am an AI engineer with expertise in Machine/Deep Learning & NLP Projects.
University of RostockRostock, Germany
Pinned Repositories
AGGCN
Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
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.
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
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
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.
Mastering-Langchain-tutorials
Thisrepo is intended to learn langchain fundamentals and its use in different applications.
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.
Sentiment_Analysis_IMdb_Reviews
Text-Summarization-using-Deep-Learning-in-Python
Prepare Text Reviews Summary
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.
ZohaibRamzan's Repositories
ZohaibRamzan/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.
ZohaibRamzan/Mastering-Langchain-tutorials
Thisrepo is intended to learn langchain fundamentals and its use in different applications.
ZohaibRamzan/Text-Summarization-using-Deep-Learning-in-Python
Prepare Text Reviews Summary
ZohaibRamzan/AGGCN
Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
ZohaibRamzan/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.
ZohaibRamzan/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
ZohaibRamzan/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
ZohaibRamzan/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.
ZohaibRamzan/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.
ZohaibRamzan/Sentiment_Analysis_IMdb_Reviews
ZohaibRamzan/Stream_lit_Use
ZohaibRamzan/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.
ZohaibRamzan/streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io