Naga Manohar Yelubandi (Naga-Manohar-Y)

Naga-Manohar-Y

Geek Repo

Github PK Tool:Github PK Tool

Naga Manohar Yelubandi's starred repositories

machine-learning-zoomcamp

Learn ML engineering for free in 4 months!

Language:Jupyter NotebookStargazers:9471Issues:0Issues:0

ethical-travel-recommender

An AI-powered system that generates sustainable trip plans and tourism recommendations for Southeast Asia. Built using a Retrieval-Augmented Generation (RAG) approach with data from WikiVoyage, this project promotes ethical and eco-friendly travel practices.

Language:Jupyter NotebookStargazers:2Issues:0Issues:0
Language:CudaStargazers:401Issues:0Issues:0

cuda_programming

Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch

Language:CudaLicense:GPL-3.0Stargazers:730Issues:0Issues:0

100-Days-Of-ML-Code

100 Days of ML Coding

License:MITStargazers:45157Issues:0Issues:0

ml-retreat

intermediate to advanced AI learning path

Language:Jupyter NotebookStargazers:450Issues:0Issues:0

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:29692Issues:0Issues:0

rag_nutrition_facts_blog

RAG-based Chatbot that helps answer questions around healthy eating & lifestyle choices, based on 1200+ science-backed blog posts of NutritionFacts.org.

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:4Issues:0Issues:0

llm-rag-vectordb-python

Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databases, use RAG techniques, and showcase experiments with langchain and streamlit.

Language:Jupyter NotebookLicense:MIT-0Stargazers:118Issues:0Issues:0

fcc-ai-engineering-aws

AI Engineering with AWS

Language:Jupyter NotebookLicense:MITStargazers:12Issues:0Issues:0

APSP-in-parallel

Solving All Pairs Shortest Paths with Floyd Warshall's Algorithm and Johnson's Algorithm, using OpenMP and CUDA

Language:C++License:MITStargazers:26Issues:0Issues:0
Language:Jupyter NotebookStargazers:2Issues:0Issues:0
Language:Jupyter NotebookLicense:NOASSERTIONStargazers:64Issues:0Issues:0

Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

Language:C++License:Apache-2.0Stargazers:22165Issues:0Issues:0

legal-document-assistant

A Retrieval-Augmented Generation (RAG) application for querying legal documents. It uses PostgreSQL, Elasticsearch, and LLM to provide summaries and suggestions based on user queries. Features data ingestion with Airflow, real-time monitoring with Grafana, and a Streamlit interface.

Language:Jupyter NotebookStargazers:41Issues:0Issues:0
Language:Jupyter NotebookStargazers:3Issues:0Issues:0

llm_zc_2024_project_audhoot_chavan_parlamind

Project submission for llm zoomcamp 2024 - https://github.com/DataTalksClub/llm-zoomcamp

Language:Jupyter NotebookStargazers:3Issues:0Issues:0
Language:Jupyter NotebookStargazers:6Issues:0Issues:0

numaflow

Kubernetes-native platform to run massively parallel data/streaming jobs

Language:GoLicense:Apache-2.0Stargazers:1102Issues:0Issues:0

finnhub-streaming-data-pipeline

Stream processing pipeline from Finnhub websocket using Spark, Kafka, Kubernetes and more

Language:HCLStargazers:290Issues:0Issues:0

LLM-Learn-PK

Testing the different LLM and RAG Tests while I learn along the way

Language:PythonStargazers:18Issues:0Issues:0

ner-dspy

Using DSPy for NER tasks using LLMs

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:9Issues:0Issues:0

Auto_Jobs_Applier_AIHawk

Auto_Jobs_Applier_AIHawk is a tool that automates the jobs application process. Utilizing artificial intelligence, it enables users to apply for multiple job offers in an automated and personalized way.

Language:PythonLicense:NOASSERTIONStargazers:17856Issues:0Issues:0

genai-cookbook

A mixture of Gen AI cookbook recipes for Gen AI applications.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:125Issues:0Issues:0

adv_data_transformation_in_sql

Code for "Advanced data transformations in SQL" free live workshop

Language:Jupyter NotebookStargazers:58Issues:0Issues:0
Language:Jupyter NotebookLicense:GPL-3.0Stargazers:141Issues:0Issues:0

llmops-handbook

Practical and advanced guide to LLMOps. It provides a solid understanding of large language models’ general concepts, deployment techniques, and software engineering practices. (work in progress)

Language:CSSLicense:CC-BY-SA-4.0Stargazers:52Issues:0Issues:0

DataEngineeringProject

Example end to end data engineering project.

Language:PythonLicense:MITStargazers:1123Issues:0Issues:0

New-Grad-2025

Hand picked new grad 2025 start date tech jobs

Stargazers:602Issues:0Issues:0

langchain-extract

🦜⛏️ Did you say you like data?

Language:Rich Text FormatLicense:MITStargazers:1031Issues:0Issues:0