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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

stream_lit_use

streamlit-example

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

text-summarization-using-deep-learning-in-python

Prepare Text Reviews Summary

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.

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.