luizdavi

luizdavi's Stars

• bahree/GenAIBook

  "Generative AI in Action" book's code repository

  Language:Python2214

• microsoft/promptflow

  Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

  Language:Python9.2k835

• growthbook/growthbook

  Open Source Feature Flagging and A/B Testing Platform

  Language:TypeScript6k486

• aws/studio-lab-examples

  Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

  Language:Jupyter Notebook627184

• aws/deep-learning-containers

  AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

  Language:Python995455

• aristsakpinis93/generative-ai-immersion-day

  Language:Jupyter Notebook5727

• winglang/wing

  A programming language for the cloud ☁️ A unified programming model, combining infrastructure and runtime code into one language ⚡

  Language:TypeScript4.9k194

• open-metadata/OpenMetadata

  OpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team collaboration.

  Language:TypeScript5.2k990

• dair-ai/ML-Papers-Explained

  Explanation to key concepts in ML

  7k552

• ukama/ukama-nodes

  Ukama hardware stuff

  265

• ukama/ukama

  Ukama's open-source cellular network

  Language:Go11214

• ProductHired/open-product-management

  A curated list of product management advice for technical people.

  3.9k774

• ossu/computer-science

  🎓 Path to a free self-taught education in Computer Science!

  170k21.5k

• RasaHQ/rasa

  💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

  Language:Python18.7k4.6k

• ChandraLingam/AmazonSageMakerCourse

  In this AWS Machine Learning Specialty Course, You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in AWS cloud. Learn how to use AWS Built-in SageMaker algorithms and AI, How to Bring Your Own Algorithm, Zero Downtime Model Deployment Options, How to Integrate and Invoke ML from your Application, Automated Hyperparameter Tuning

  Language:Jupyter Notebook224391

• data-science-on-aws/data-science-on-aws

  AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

  Language:Jupyter Notebook3.3k1.1k

• idealo/imagededup

  😎 Finding duplicate images made easy!

  Language:Python5.1k458

• olist/olist-api-client-php

  Language:PHP8