edgBR

edgBR's Stars

• AUTOMATIC1111/stable-diffusion-webui

  Stable Diffusion web UI

  Language:Python135k1k7.5k25.8k

• openai/whisper

  Robust Speech Recognition via Large-Scale Weak Supervision

  Language:Python63.7k52907.4k

• psf/black

  The uncompromising Python code formatter

  Language:Python37.8k2342.6k2.4k

• DataTalksClub/data-engineering-zoomcamp

  Free Data Engineering course!

  Language:Jupyter Notebook23.6k4291245k

• invoke-ai/InvokeAI

  InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.

  Language:TypeScript22.2k1952.8k2.3k

• microsoft/recommenders

  Best Practices on Recommendation Systems

  Language:Python16.2k2617862.8k

• stefan-jansen/machine-learning-for-trading

  Code for Machine Learning for Algorithmic Trading, 2nd edition.

  Language:Jupyter Notebook12.2k3792924k

• unit8co/darts

  A python library for user-friendly forecasting and anomaly detection on time series.

  Language:Python7.5k601.4k824

• aws/aws-sdk-pandas

  pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

  Language:Python3.8k611.1k677

• featureform/featureform

  The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

  Language:Jupyter Notebook1.7k1514591

• Azure/azureml-examples

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

  Language:Jupyter Notebook1.6k2.6k2791.3k

• bes-dev/stable_diffusion.openvino

  Language:Python1.5k37126208

• smy20011/dreambooth-gui

  Language:TypeScript365105718

• loft-br/xgboost-survival-embeddings

  Improving XGBoost survival analysis with embeddings and debiased estimators

  Language:Python312844351

• Lightning-AI/stable-diffusion-deploy

  Learn to serve Stable Diffusion models on cloud infrastructure at scale. This Lightning App shows load-balancing, orchestrating, pre-provisioning, dynamic batching, GPU-inference, micro-services working together via the Lightning Apps framework.

  Language:Python279204420

• chwan1016/awesome-gnn-systems

  A list of awesome GNN systems.

  Language:Python2654123

• joelcthomas/modeldrift

  Capturing model drift and handling its response - Example webinar

  Language:Python1056344

• GokuMohandas/testing-ml

  Learn how to create reliable ML systems by testing code, data and models.

  Language:Jupyter Notebook762012

• awslabs/privacy-preserving-xgboost-inference

  Privacy-preserving XGBoost Inference

  Language:Python4712411

• 3mcloud/azure-keyvault-rotator

  Language:C#337011

• Azure-Samples/event-hubs-dotnet-import-from-sql

  Simple cloud app that pulls incremental records from a SQL Azure table and pushes to event hub

  Language:C#3129

• xLaszlo/CQ4DS-notebook-sklearn-refactoring-exercise

  Language:Python272215

• paolorechia/openimagegenius

  Stable Diffusion

  Language:Python26213

• marshackVB/parallel_models_blog

  Accompanying solution accelerator notebook for the Databricks blog on parallel training and inference

  Language:Python15106

• sofianhamiti/amazon-sagemaker-github-actions-mlflow

  5 Simple Steps to MLOps with GitHub Actions, MLflow, and SageMaker Pipelines

  Language:Python1311

• solliancenet/Azure-Machine-Learning-Dev-Guide

  121109

• robertoamansur/rare_event_pred_maintanance

  Code to solve a open dataset of predictive maintanance of sheet brek on a paper mill.

  Language:Jupyter Notebook77

• monalabs/mona-tutorial

  Language:Python52

• joe-plumb/event-driven-pipeline

  Azure Function to trigger Azure DevOps Pipelines on Blob Storage events

  Language:Python2100

• brunaw/hebartBase

  Language:R1301