Pinned Repositories
chatbot-with-memory
create a new chatbot but with memory
Examples-of-DL-NLP-using-Pytorch
flask_gunicorn_nginx_docker_ml_deployment
Write an API for ML model with Flask, use Gunicorn for the app server, Nginx for the webserver, and wrap it up in Docker, to deploy on any machines.
Gauss-Elimination-
Serial and Parallel implementation of Gauss elimination, parallelization has been achieved using openMp and C.
Graph-based-text-classification
Project work as part of the E0-334 Deep Learning for Natural Language Processing course at IISc, Bengaluru. We had proposed a graph-based model for text classification.
Multilingual-Abuse-Comment-Detection
This work was done as part of Kaggle InClass competition hosted by Sharechat. We had to develop AI solutions for predicting abusive comments posted on the Moj app in 10+ languages given natural language data and user context data.
Production-Deployment-ML-Model
A production-grade ML API using Flask, Gunicorn, Nginx, and Docker
RAG-with-Langchain-Ollama-for-pdfs
first attempt at creating and deploying rag based systems using langchain + ollama + streamlit
Sentence-classification-via-Attention-mechanism
experiments on text classification using attention mechanism
Video-Quality-Analysis
As a part of CS 306 : Data Analysis and visualisation course, this project aimed at measuring video quality through mean opinion score(MOS) and (percentage dissatisfied users)PDU and in the process developing and comparing prediction models as mentioned in the project guide.
deekshakoul's Repositories
deekshakoul/Multilingual-Abuse-Comment-Detection
This work was done as part of Kaggle InClass competition hosted by Sharechat. We had to develop AI solutions for predicting abusive comments posted on the Moj app in 10+ languages given natural language data and user context data.
deekshakoul/RAG-with-Langchain-Ollama-for-pdfs
first attempt at creating and deploying rag based systems using langchain + ollama + streamlit
deekshakoul/Graph-based-text-classification
Project work as part of the E0-334 Deep Learning for Natural Language Processing course at IISc, Bengaluru. We had proposed a graph-based model for text classification.
deekshakoul/Production-Deployment-ML-Model
A production-grade ML API using Flask, Gunicorn, Nginx, and Docker
deekshakoul/Video-Quality-Analysis
As a part of CS 306 : Data Analysis and visualisation course, this project aimed at measuring video quality through mean opinion score(MOS) and (percentage dissatisfied users)PDU and in the process developing and comparing prediction models as mentioned in the project guide.
deekshakoul/chatbot-with-memory
create a new chatbot but with memory
deekshakoul/Examples-of-DL-NLP-using-Pytorch
deekshakoul/flask_gunicorn_nginx_docker_ml_deployment
Write an API for ML model with Flask, use Gunicorn for the app server, Nginx for the webserver, and wrap it up in Docker, to deploy on any machines.
deekshakoul/Gauss-Elimination-
Serial and Parallel implementation of Gauss elimination, parallelization has been achieved using openMp and C.
deekshakoul/HODLR
A fast, accurate direct solver and determinant computation for dense linear systems
deekshakoul/Sentence-classification-via-Attention-mechanism
experiments on text classification using attention mechanism
deekshakoul/Sentiment-Analysis-for-movie-reviews
TF-IDF with Logistic Regression on sentiment analysis.
deekshakoul/HODLR-and-HSS-Parallelization
deekshakoul/HPC-Labs
This folder is collection of all the high performance computing labs that have been performed under the course CS 301 : High Performance Computing(2015)
deekshakoul/LDA-Topic-modelling
Using unsupervised learning to extract main topics that occur in a collection of documents. Modelled the 20-Newsgroup data set that has thousands of news articles from many sections of a news report.
deekshakoul/learning
Becoming 1% better at data science everyday
deekshakoul/Memory-Allocator
Implementation of an Implicit Free List Memory Allocator.
deekshakoul/Metabolic-Networks
deekshakoul/Modelling-and-simulating-Biofilms
deekshakoul/nn-zero-to-hero
Neural Networks: Zero to Hero
deekshakoul/Pricing-structured-product-of-an-company
Given the indicative term sheet of an company, following tasks were performed:
deekshakoul/sent-conv-torch
Text classification using a convolutional neural network.
deekshakoul/Spin
Explicit state logic model checking tool -- 2002 winner of the ACM System Software Award.
deekshakoul/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
deekshakoul/Tiny-Unix-Shell
Creating a tiny unix shell in C which handles and signals processes.
deekshakoul/TSP-via-GA
Implement TSP by using Genetic algorithm.
deekshakoul/Virtual-File-System