giramonikranthi

giramonikranthi's Stars

• langchain-ai/rag-from-scratch

  Language:Jupyter Notebook2.3k701

• pinecone-io/examples

  Jupyter Notebooks to help you get hands-on with Pinecone vector databases

  Language:Jupyter Notebook2.7k996

• alexhddev/Bedrock_course

  Language:TypeScript38

• koushik2299/AI-Resume-Reviewer

  The Resume Expert Streamlit application stands as a significant tool in bridging the gap between job seekers and their ideal job roles. By harnessing the power of AI, it provides valuable insights and recommendations, making it a pivotal step in enhancing the job application process.

  Language:Python1918

• krishnaik06/FastAPI

  Language:Jupyter Notebook79105

• NehaSreenidhi/MachineLearning

  A collection of Machine Learning projects done as a part of "A Comprehensive Skill Oriented Training"

  Language:Jupyter Notebook1

• sghosh1991/InterviewPrepPython

  Practice problems python for interviews

  Language:Python1

• chandansgowda/leetcode-python

  This is a Personal repository where I store my python solutions to algorithmic problems from LeetCode, a popular platform for practicing coding interviews.

  Language:Python85

• NirmalSilwal/Problem-Solving

  contains all coding interview practice problems, data structures and algorithms implementations. 👨‍💻👨‍💻💥 🚩

  Language:Python185

• vishrutkmr7/DailyPracticeProblemsDIP

  A gist of all my solutions to the Daily Practice Problems subscription from: Daily Interview Pro

  Language:Python64

• SaikiaP/Last-moment-python-practice

  this is my personal notebook which i use to practice inbuilt functions of python for interviews

  Language:Jupyter Notebook1

• devAmoghS/Python-Interview-Problems-for-Practice

  120+ Common code and interview problems solved in Python **(it's GROWING...)** Give a Star 🌟If it helps you. Please go through the README.md before starting.

  Language:Jupyter Notebook977153

• HenryHengLUO/Retrieval-Augmented-Generation-Intro-Project

  This project aims to introduce and demonstrate the practical applications of RAG using Python code in a Jupyter Notebook environment.

  Language:Jupyter Notebook2913

• pawanrawat0926/ai_sql_assistant

  Language:Python1814

• emarco177/ice_breaker

  Language:Python456779

• fawazsammani/The-Complete-Neural-Networks-Bootcamp-Theory-Applications

  Code Files for the Udemy Course: The Complete Neural Networks Bootcamp: Theory, Applications

  Language:Jupyter Notebook168186

• BrightPool/udemy-prompt-engineering-course

  Content for the Udemy Prompt Engineering Course

  Language:Jupyter Notebook7339

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX48k4.7k

• stanfordnlp/dspy

  DSPy: The framework for programming—not prompting—foundation models

  Language:Python17.3k1.3k

• lm-sys/FastChat

  An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

  Language:Python36.5k4.5k

• vanna-ai/vanna

  🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

  Language:Python10.9k849

• ParthaPRay/Ollama_GoogleColab_colabxterm_langchain

  This repo contains a code that uses colabxterm and langchain community packages to install Ollama on Google Colab free tier T4 and pulls a model from Ollama and chats with it

  Language:Jupyter Notebook41

• Ngonie-x/langchain_todo

  Language:Python57

• SamBelkacem/AI-ML-cheatsheets

  Cheatsheets for AI and Machine Learning

  16237

• ALucek/llama3-websearch-agent

  Language:Jupyter Notebook3010

• TirendazAcademy/PandasAI-Tutorials

  Tutorials for PandasAI

  Language:Jupyter Notebook7430

• krishnaik06/Langserve-Demo

  Language:Python129

• AssemblyAI/youtube-tutorials

  Companion code for tutorials on the AssemblyAI YouTube channel

  Language:Jupyter Notebook14758

• TirendazAcademy/LangChain-Tutorials

  Practical step-by-step LangChain guides

  Language:Jupyter Notebook259

• curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain

  LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

  Language:Jupyter Notebook1.1k347