Amit Kumar Nayak (amit1nayak)

amit1nayak

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Location:Mars

Twitter:@amit1nayak

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Amit Kumar Nayak's repositories

pandas-ai

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

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cover-agent

CodiumAI Cover-Agent: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞

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R2R-RAG

The framework for fast development and deployment of RAG systems.

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taipy

Turns Data and AI algorithms into production-ready web applications in no time.

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Scrapegraph-ai

Python scraper based on AI

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LLM-PlayLab

This playlab encompasses a multitude of projects crafted through the utilization of Large Language Models, showcasing the versatility and impact of these models across various applications.

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llm-agent-web-tools

A simple Google Search Engine Crawler.

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ML-Papers-Explained

Explanation to key concepts in ML

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ML-Papers-of-the-Week

🔥Highlighting the top ML papers every week.

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generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

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rag-fusion

RAG-Fusion implementation using Langchain, Weaviate and OpenAI

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state-of-open-source-ai

Clarity in the current fast-paced mess of Open Source innovation

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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.

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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

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tiny-transformer

Tiny transformer models implemented in pytorch.

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LLM-eval-survey

The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".

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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.

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How-Diffusion-Models-Work

In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch.

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LangChain-for-LLM-Application-Development

In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.

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Building-Systems-with-the-ChatGPT-API

In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model.

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AI-Powered-5G-OpenRAN-Optimizer

This advanced and complex project implements an AI-powered optimization system for 5G Open RAN networks. Using machine learning and deep learning, the system optimizes network performance by detecting anomalies, predicting network traffic, and dynamically allocating resources.

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pdfGPT

PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The only open source solution to turn your pdf files in a chatbot!

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prismer

The implementation of "Prismer: A Vision-Language Model with An Ensemble of Experts".

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Taiwanese-Whisper

fine-tune Whipser model for Taiwanese speech recognition

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GPT-App

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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