Radhakrishnancn

Radhakrishnancn's Stars

• aishwaryanr/awesome-generative-ai-guide

  A one stop repository for generative AI research updates, interview resources, notebooks and much more!

  8.4k1.8k

• rsrohan99/tutorial-notebooks

  Language:Jupyter Notebook31

• decodingml/llm-twin-course

  🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

  Language:Python2.5k405

• tensorflow/docs

  TensorFlow documentation

  Language:Jupyter Notebook6.1k5.3k

• krisograbek/openai-chatbot-course

  Language:Jupyter Notebook101

• stacksimplify/google-cloud-certifications

  Start your Google Cloud Journey with 150 practical demos. Google Cloud Associate Cloud Engineer certification - GCP ACE

  Language:Shell3674

• NirDiamant/RAG_Techniques

  This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

  Language:Jupyter Notebook6.9k672

• drawdb-io/drawdb

  Free, simple, and intuitive online database diagram editor and SQL generator.

  Language:JavaScript20k1.4k

• youssefHosni/Hands-On-LangChain-for-LLM-Applications-Development

  Practical LangChain tutorials for LLM applications development

  12626

• Sinaptik-AI/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.

  Language:Python12.7k1.2k

• dbt-labs/dbt-spark

  dbt-spark contains all of the code enabling dbt to work with Apache Spark and Databricks

  Language:Python394221

• frappe/erpnext

  Free and Open Source Enterprise Resource Planning (ERP)

  Language:Python20.7k7.1k

• Princekrampah/agentic_rag_llamaIndex_tutorial

  Language:Jupyter Notebook95

• run-llama/llama_parse

  Parse files for optimal RAG

  Language:Python2.7k261

• amazon-science/chronos-forecasting

  Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

  Language:Python2.4k272

• VincentGranville/Large-Language-Models

  Large language Models (LLM)

  Language:TeX373112

• lukas/ml-class

  Machine learning lessons and teaching projects designed for engineers

  Language:Jupyter Notebook2.3k1.2k

• techiescamp/devops-projects

  DevOps Real World Projects for Aspiring DevOps Engineers [Beginner to Advanced]

  Language:HCL1.1k793

• milanm/DevOps-Roadmap

  DevOps Roadmap for 2024. with learning resources

  12k1.9k

• datacontract/datacontract-cli

  CLI to manage your datacontract.yaml files

  Language:Python43785

• SebastianoMeneghin/sml-project-2023-manfredi-meneghin

  Scalable Machine Learning and Deep Learning, Final Project, 2023/2024

  Language:Python19032

• microsoft/generative-ai-for-beginners

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

  Language:Jupyter Notebook62.2k31.8k

• changlin31/DNA

  (CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation

  Language:Python23535

• jlevy/the-art-of-command-line

  Master the command line, in one page

  153k14.5k

• Raudaschl/rag-fusion

  Language:Python77995

• crewAIInc/crewAI

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

  Language:Python19.6k2.7k

• src-d/awesome-machine-learning-on-source-code

  Cool links & research papers related to Machine Learning applied to source code (MLonCode)

  6.2k840

• techiescamp/devops-tools

  Curated List of Best DevOps Tools

  583203

• abhineet123/Deep-Learning-for-Tracking-and-Detection

  Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

  Language:HTML2.4k654

• PeterGriffinJin/Awesome-Language-Model-on-Graphs

  A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".

  71343