Awesome GitHub RepositoriesComputation Engines

Tinygrad is a deep learning framework and tensor computation engine designed for building and training neural networks. It functions as a hardware abstraction layer that manages device memory, command queues, and kernel dispatching across heterogeneous computing architectures. By utilizing a lazy-evaluation approach, the framework constructs computational graphs that defer execution until data is explicitly required, allowing it to process only the necessary operations for a given result. The project distinguishes itself through a just-in-time compilation layer that transforms abstract comput

Algo is a cloud VPN deployment tool and WireGuard orchestrator designed to automate the provisioning and configuration of personal VPN servers across multiple cloud infrastructure providers. It functions as a multi-cloud infrastructure provisioner and a VPN client configuration generator, creating the necessary tunnels and connection profiles for secure device connectivity. The project distinguishes itself by integrating a network ad-blocking DNS server directly into the deployment, filtering advertisements and malicious domains for all connected clients. It further simplifies the onboarding

Feast is an open-source feature store for machine learning that provides a central platform for defining, storing, and serving features across both training and inference workflows. It operates as a declarative system where feature definitions are written as code in Python files, synchronized to a central registry, and made available for low-latency online retrieval or point-in-time correct historical joins for training datasets. The project abstracts storage behind a pluggable architecture, allowing offline and online backends to be swapped without changing retrieval logic, and coordinates ma