Lists (2)
Stars
Low-level unprivileged sandboxing tool used by Flatpak and similar projects
A workshop with several modules to help learn Feast, an open-source feature store
FoundationDB - the open source, distributed, transactional key-value store
Testcontainers is a Python library that providing a friendly API to run Docker container. It is designed to create runtime environment to use during your automatic tests.
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
PostgreSQL offline and online stores for Feast
Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
🐍🌿💚 Integrate MyPy type-checking into your Python Bazel builds
Fast and Lightweight Logs, Metrics and Traces processor for Linux, BSD, OSX and Windows
🔒 OpenVPN server in a Docker container complete with an EasyRSA PKI CA
JDK main-line development https://openjdk.org/projects/jdk
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Like `kubectl get all`, but get really all resources
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch…
Kubernetes-native Deep Learning Framework
⛔️ DEPRECATED - 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 …
Deep universal probabilistic programming with Python and PyTorch
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
The official source code repository for the calibre ebook manager
A uniform interface to run deep learning models from multiple frameworks
P2P Docker registry capable of distributing TBs of data in seconds