somanathkshirsagar

-SQL-Interview-Mastery-50-LeetCode-Questions-for-Top-Tech-Companies

Welcome to the ultimate SQL interview preparation repository for top tech companies like Google, Salesforce, Walmart, Metaverse, and Microsoft. This comprehensive study plan focuses on solving 50 essential SQL questions on LeetCode, providing you with the knowledge and practice needed to confidently tackle your SQL interview within just one month.

BAGOFVECTORS

BAGOFVECTORS is a project developed with the objective of predicting whether a job description is real or fake. The project utilizes machine learning techniques, specifically natural language processing (NLP), Spacy for text preprocessing, and classification algorithms such as Random Forest and Logistic Regression. The web application is built usin

-LeastSquare

LeastSquare is a web application developed with the objective of predicting the price of used cars. The project follows the life cycle of a data science project and incorporates various tools and techniques such as machine learning, regression analysis, linear regression, polynomial regression, Lasso regression, Ridge regression, and Streamlit.

Practical_Data_Science_on_the_AWS-Cloud-Specialization

The Practical Data Science Specialization brings together these disciplines using purpose-built ML tools in the AWS cloud. It helps you develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker. This Specialization is designed for data-focused develop

somanathkshirsagar

I'm Somnath Kshirasagr, a passionate data scientist with a strong educational background. I hold a Bachelor's degree in Computer Science from Pune University, and I further honed my skills by pursuing a Master's degree in Data Science from Fergusson College. With my combined knowledge of computer science and data science, I'm well-equipped to tackl

Laptop_Price_Predction

The Laptop Price Predictor is a web application designed to estimate the price of a laptop based on its specifications. The project utilizes a Random Forest Regressor, a supervised machine learning model, which achieves an impressive accuracy of 88%. The web application is developed using Streamlit, providing an interactive and user-friendly interf

anything-llm

A multi-user ChatGPT for any LLMs and vector database. Unlimited documents, messages, and storage in one privacy-focused app. Now available as a desktop application!

ColBERT

ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

crewAI

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Data-Science-Interview-Preperation-Resources

Resoruce to help you to prepare for your comming data science interviews

Data-Science-Interview-Questions-Answers

Enhancing-Customer-Support-with-LLMs-

Enhancing-Customer-Support-with-LLMs-" GitHub repository focuses on revolutionizing customer support with Large Language Models (LLMs). It offers cutting-edge solutions to enhance efficiency, personalization, and user satisfaction in customer service interactions.

Extract-data-from-INVOICE-using-Gemini-Pro-Information-Extraction-from-Image

An open-source Python project leveraging the Gemini Pro API for efficient extraction of information from invoices. Simplify your data extraction process with this tool designed for seamless integration and streamlined extraction from images.

GeminiProChat

Minimal web UI for GeminiPro.

langchain

🦜🔗 Build context-aware reasoning applications

litellm

Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)

llama_index

LlamaIndex is a data framework for your LLM applications

llm-autoeval

Automatically evaluate your LLMs in Google Colab

LLM-Blender

We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the diverse strengths of multiple open-source LLMs. LLM-Blender cut the weaknesses through ranking and integrate the strengths through fusing generation to enhance the capability of LLMs.

LLMs-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

LLMsPracticalGuide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

MLOps-Platforms-Amazon-SageMaker-and-Azure-ML

Navigate MLOps Diversity: Explore this comprehensive course repository for comparing MLOps platforms. Delve into SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow, and more. Simplify complexities, access neutral insights, and make informed choices.

MobiLlama

MobiLlama : Small Language Model tailored for edge devices

models

Models and examples built with TensorFlow

NLP_to_SQL

Welcome to the GitHub repository for our tutorial on building a natural language SQL chatbot using GPT-4! In this project, we will guide you through creating a chatbot capable of interpreting and responding to user queries in natural language, generating SQL queries dynamically, and retrieving results from a MySQL database. The project features a u

qdrant

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

reference

⭕ Share quick reference cheat sheet for developers.

SanskritiApp

Official application of sanskriti bench. The open community driven indic question answering data annotation platform.

SanskritiBench

Scrapegraph-ai

Python scraper based on AI