Discover ManashJKonwar/Research-Catastrophic-Detection Open Source

Stars
2
Language
Jupyter Notebook
License
Apache License 2.0
Created over 2 years ago
Updated over 2 years ago

ManashJKonwar

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

The sole purpose of this research work is to predict catastrophic events such as heavy rainfall, floods, etc using state of the art technique which includes time series forecasting, CNN, RNN, etc

NLP-Transformers

Transformer (BERT, GPT2, etc.) based Training Module for popular NLP tasks

Python

IP-Pointnet

TF2 implementation of PointNet Classifier and PointNet Part Segmentation using point clouds

Python

ML-Retail-Sales

ML Techniques to predict future sales for products

Jupyter Notebook

ML-Retail-Platter

Product Pricing Simulator to simulate marketing scenarios using ML

Python

NLP-KGFramework

NLP-KGFramework is an automatic knowledge graph creation that uses NLP based querying to query the graph database in hand

Python

IP-Pointnet-ObjectDetection

Frustum Pointnet Implementation on KITTI and Lyft Dataset

Python

Training-Python

Python training materials covering basic concepts

Jupyter Notebook

Utility-Text-Scrapper

The prime objective of this repository is to facilitate the extraction of texts from web URLs and also parallelize the extraction process so as to reduce the processing time

Python

NLP-Unsupervised-Text-Clustering

Python

NLP-Information-Pattern-Finder

Spacy based Implementation for extracting information from textual data and also finding new data patterns

Jupyter Notebook

ML-Retail-Price-Optimization

ML Techniques to optimize price of products, supply chain, inventory, etc

ManashJKonwar/Research-Catastrophic-Detection

ManashJKonwar

Reviews

Repository Details

More Repositories