Stars
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
This repository contains mini projects in machine learning with notebook files
Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.
This repository consists of all my Machine Learning Projects.
Repository for the "Building LLMs for Production" book by Towards AI.
Jupyter Notebooks for Mastering LLM with Advanced RAG Course
Disease Prediction based on Symptoms.
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
8th sem Final year Project of VTU
Breast Cancer Detection Using Machine Learning
IDS monitors a network or systems for malicious activity and protects a computer network from unauthorized access from users,including perhaps insider.
The "House Price Prediction" project focuses on predicting housing prices using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Ma…
Applied all RAG techniques in a simpler way
A data mining application to predict disease using symptom data. A model is built using both Multinomial Naive-Bayes & Decision Tree Algorithm to predict the disease given the symptoms.
The project is a simple sentiment analysis using NLP. The project in written in python with Jupyter notebook. It shows how to do text preprocessing (removing of bad words, stop words, lemmatization…
Machine Learning Model for predicting crime rates of 19 metropolitan cities in 10 different categories of crime.
Developing a highly effective, domain-specific large language model for reliability engineering. We will achieve this by creating a large-scale, high-quality, synthetic dataset and using it to fine…
Python notebook describing the entire process of developing a prediction model including: Exploratory Data Analysis, Data Preprocessing, and Model Development
In this project, we are going to analyze a dataset focused on Phishing Website Detection. This dataset contains various features that help determine whether a website is legitimate, phishing, or su…
The Mistral-7B-Instruct-v0.3 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.3. Here, we fine tune this model on technical documents for domain specific adapatation.
This Repo comprise my all work and project which i done in my last Organization at IIT Guwahati. it consist Object detection project with results and another python projects