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ai-for-everyone

Coursera - AI For Everyone - deeplearning.ai

ai-for-good-specialization

Learn AI's role in addressing complex challenges. Build skills combining human and machine intelligence for positive real-world impact using AI

ai-for-medicine-specialization

AI for Medicine Specialization - Coursera offered by deeplearning.ai

ambot

auto-hr

Auto-HR: Revolutionizing recruitment with end-to-end automation - from crafting job descriptions and assessing resumes to generating screening questions and conducting candidate interviews.

automatic-number-plate-recognition-python-yolov8

azure-search-openai-demo

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

building-and-evaluating-advanced-rag-applications

Jupyter notebooks for course Building and Evaluating Advanced RAG Applications, taught by Jerry Liu (Co-founder and CEO of LlamaIndex) and Anupam Datta (Co-founder and chief scientist of TruEra).

building-applications-with-vector-databases

Leverage vector databases to swiftly construct a diverse range of applications through "Building Applications with Vector Databases" course!

building-machine-learning-demos-with-gradio

In this course you'll learn to use Gradio to create user-friendly apps with minimal code: Summarize text using a large language model, generate image captions, and chat with an open source LLM. Gain practical knowledge to build interactive demos faster.

building-systems-with-the-chatgpt-api

Building Systems with the ChatGPT API

chatgpt-prompt-engineering-for-developers

ChatGPT Prompt Engineering for Developers

coursera-gan-specialization

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

coursera-machine-learning-engineering-for-prod-mlops-specialization

Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai

data-analysis

Data Science Using Python

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

evaluating-and-debugging-generative-ai

Machine learning and AI projects require managing diverse data sources, vast data volumes, model and parameter development, and conducting numerous test and evaluation experiments. Overseeing and tracking these aspects of a program can quickly become an overwhelming task.

face-attendance-system

functions-tools-and-agents-with-langchain

You’ll explore new advancements like ChatGPT’s function calling capability, and build a conversational agent using a new syntax called LangChain Expression Language (LCEL) for tasks like tagging, extraction, tool selection, and routing.

generative-ai-with-llms

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

langchain-chat-with-your-data

Start building practical applications that allow you to interact with data using LangChain and LLMs.

langchain-for-llm-application-development

Apply LLMs to your data, build personal assistants, and expand your use of LLMs with agents, chains, and memories.

license-plate-number-detection

A project where the license plate number is extracted from image of a vehicle using Object detection and Character recognition techniques.

machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

machine-learning-specialization-coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

mathematics-for-machine-learning-and-data-science-specialization

Non-credit online course by DeepLearning.AI

mlops-specialization-notes

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

quality-and-safety-for-llm-applications

Explore new metrics and best practices to monitor your LLM systems and ensure safety and quality

shivneri-llm

Shivneri LLM is an Open-source initiative and is focused on building an Open source LLM to enable several different applications in Marathi and thus bring in the benefits of Generative AI to Marathi speaking population. To start with we focus on Marathi but this initiative can be extended to other Indian languages too as needed.

streamlit-llm-examples