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.

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azure-openai-benchmark

Azure OpenAI benchmarking tool

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azure-docs

Open source documentation of Microsoft Azure

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cognitive-services-REST-api-samples

This is a repo for cognitive services REST API samples in 4 languages: C#, Java, Node.js, and Python.

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VoTT

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

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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.

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tensorflow

An Open Source Machine Learning Framework for Everyone

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models

Models and examples built with TensorFlow

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MLOpsPython

MLOps using Azure ML Services and Azure DevOps

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azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

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MachineLearningNotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

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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.

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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.

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lm-evaluation-harness

A framework for few-shot evaluation of language models.

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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

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ragas

Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

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peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

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hands-on-transfer-learning-with-python

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

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cloud

The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.

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deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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CycleGAN

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

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pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

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pynufft

PyNUFFT: Python non-uniform fast Fourier transform

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hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

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BayesianOptimization

A Python implementation of global optimization with gaussian processes.

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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

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pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

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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.

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