microsoft / generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
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21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
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Python toolkit for quantitative finance
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open sourced AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
Course Files for Complete Python 3 Bootcamp Course on Udemy
A latent text-to-image diffusion model
Public repo for HF blog posts
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.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
A curated list of awesome machine learning frameworks, libraries and software (by language). I
Kubernetes community content