retaiba-rachid

retaiba-rachid's Stars

• retkowsky/streetclip

  Streetclip demo

  Language:Jupyter Notebook61

• retkowsky/Speech-to-text-with-Open-AI-and-Azure-Speech-services

  Speech to Text with Open AI and Azure Speech services

  Language:Jupyter Notebook11

• retkowsky/visual-search-azureAI

  Visual search with Azure Computer Vision and Azure Cognitive Search

  Language:Jupyter Notebook187

• retkowsky/images

  Images, logos...

  1

• retkowsky/Azure-OpenAI-demos

  Azure OpenAI (demos, documentation, accelerators).

  Language:Jupyter Notebook598215

• retaiba-rachid/AI-102-AIEngineer

  Lab files for AI-102 - AI Engineer

  Language:C#1

• retaiba-rachid/Azure-OpenAI-demos

  Azure Open AI (demos, documentation, accelerators).

  Language:Jupyter Notebook1

• microsoft/generative-ai-for-beginners

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

  Language:Jupyter Notebook66.5k34.5k

• alejandro-ao/ask-multiple-pdfs

  A Langchain app that allows you to chat with multiple PDFs

  Language:Python1.8k978

• meta-llama/llama

  Inference code for Llama models

  Language:Python57.3k9.7k

• john-thuo1/chatWithPDF

  This project allows you to upload a PDF document and ask questions about its content. It uses langchain, openai api model and Facebook Ai Similarity Search(FAISS) library to process the text in the PDF and provide answers to questions pertaining the document.

  Language:Python317

• techleadhd/chatgpt-retrieval

  Language:Python1.7k811

• Azure-Samples/chat-with-your-data-solution-accelerator

  A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.

  Language:Python917477

• hpcaitech/ColossalAI

  Making large AI models cheaper, faster and more accessible

  Language:Python39k4.4k

• retaiba-rachid/azure-ml-federated-learning

  Examples and recipes around federated learning in Azure ML.

  1

• roboflow/notebooks

  Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

  Language:Jupyter Notebook5.8k917

• Deci-AI/super-gradients

  Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

  Language:Jupyter Notebook4.7k520

• clovaai/donut

  Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

  Language:Python6k482

• BeastByteAI/scikit-llm

  Seamlessly integrate LLMs into scikit-learn.

  Language:Python3.4k277

• retaiba-rachid/MicrosoftML-ProjectShowcasing

  A repository to keep all open sources projects that created by individuals or study groups of Microsoft ML Scholarship

  1

• mhmohona/MicrosoftML-ProjectShowcasing

  A repository to keep all open sources projects that created by individuals or study groups of Microsoft ML Scholarship

  Language:Jupyter Notebook4089