garretthoffman's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
PrefectHQ/prefect
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
apache/druid
Apache Druid: a high performance real-time analytics database.
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
bnb/awesome-hyper
🖥 Delightful Hyper plugins, themes, and resources
aws/chalice
Python Serverless Microframework for AWS
pingcap/awesome-database-learning
A list of learning materials to understand databases internals
cortexlabs/cortex
Production infrastructure for machine learning at scale
bnb/awesome-developer-streams
👩🏿💻👨🏾💻👩🏼💻👨🏽💻👩🏻💻 Awesome Developers, Streaming
bentoml/BentoML
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and much more!
robinhood/faust
Python Stream Processing
pditommaso/awesome-pipeline
A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin
tensorflow/swift
Swift for TensorFlow
ept/ddia-references
Literature references for “Designing Data-Intensive Applications”
feast-dev/feast
The Open Source Feature Store for Machine Learning
eksctl-io/eksctl
The official CLI for Amazon EKS
facebookincubator/AITemplate
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
ahkarami/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
mithi/robotics-coursework
🤖 Places where you can learn robotics (and stuff like that) online 🤖
NVIDIA-Merlin/Merlin
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
OpenMined/PyGrid-deprecated---see-PySyft-
A Peer-to-peer Platform for Secure, Privacy-preserving, Decentralized Data Science
Interana/eventsim
Event data simulator. Generates a stream of pseudo-random events from a set of users, designed to simulate web traffic.
binga/cloud-gpus
This repository contains information about Cloud GPU offerings for Machine Learning practitioners.
fastai/swiftai
Swift for TensorFlow's high-level API, modeled after fastai
aws-samples/aws-saas-factory-bootcamp
SaaS on AWS Bootcamp - Building SaaS Solutions on AWS
aws-solutions/mlops-workload-orchestrator
The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model productionization. This solution is an extendable framework that provides a standard interface for managing ML pipelines for AWS ML services and third-party services.
BrechtDeVlieger/airflow-kube-helm
ucbrise/cirrus
Serverless ML Framework
aws-samples/aws-ml-data-lake-workshop
As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges is getting visibility into their data for feature engineering and data format conversions for using AWS SageMaker. In this workshop, we demonstrate best practices and build data pipelines for training data using Amazon Kinesis Data Firehose, AWS Glue, and Amazon SageMaker, and then we use Amazon SageMaker for inference.