Divakar Kumar's Projects
100 Days ML and DL Challenge is an intensive and transformative journey for individuals seeking to master the realms of Machine Learning (ML) and Deep Learning (DL). This challenge is designed to provide a structured and hands-on approach, allowing participants to gain practical experience in implementing various models on real-world datasets.
Currently Rental bikes are introduced in many urban cities for the enhancement of mobility comfort. It is important to make the rental bike available and accessible to the public at the right time as it lessens the waiting time. Eventually, providing the city with a stable supply of rental bikes becomes a major concern. The crucial part is the prediction of bike count required at each hour for the stable supply of rental bikes.
Blog generator is your AI sidekick for creating compelling blog content. Stuck staring at a blank page? Let the generator whisk away writer's block by crafting intros, outlines, and even full drafts based on your ideas and keywords. No coding needed, just feed it a topic and watch your blog posts come alive!
Simple web interface using Streamlit, a Python library, to interact with a language model called LLaMA3 from the Langchain library
This project is aimed at predicting the case of customers default payments in Taiwan
Testing Data Version Control Open-Source ML Pipeline Automation
Building End To End Webloader RAG Application
Testing Evidently AI open source python library
Simple Streamlit and Gemini Pro Q&A chat app
Building generative AI applications can be streamlined using Docker and Hugging Face's Docker Spaces
Exploring Unstructured
The Global Terrorism Database (GTD) is an open-source database including information on terrorist attacks around the world from 1970 through 2017. The GTD includes systematic data on domestic as well as international terrorist incidents that have occurred during this time period and now includes more than 180,000 attacks. The database is maintained by researchers at the National Consortium for the Study of Terrorism and Responses to Terrorism (START), headquartered at the University of Maryland.
Implement Positional Encoding
This comprehensive guide will introduce you to the world of clustering and K-Means Clustering along with an implementation in Python on a real-world dataset
Discover LangSmith: Your gateway to crafting production-grade LLM (Large Language Model) applications with ease. Dive into a world of innovation and efficiency as LangSmith empowers you to create sophisticated language-driven solutions effortlessly.
LangChain is a toolbox for crafting applications powered by large language models (LLMs)