cmendozab's starred repositories
mlops-project-template
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
azure-openai-benchmark
Azure OpenAI benchmarking tool
azure-docs
Open source documentation of Microsoft Azure
cognitive-services-REST-api-samples
This is a repo for cognitive services REST API samples in 4 languages: C#, Java, Node.js, and Python.
azure-sdk-for-python
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
tensorflow
An Open Source Machine Learning Framework for Everyone
MLOpsPython
MLOps using Azure ML Services and Azure DevOps
azureml-examples
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
azure-search-openai-demo
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
vertex-ai-samples
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.
lm-evaluation-harness
A framework for few-shot evaluation of language models.
aws-genai-llm-chatbot
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
hands-on-transfer-learning-with-python
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.