achals's Stars
psf/black
The uncompromising Python code formatter
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
openjdk/jdk
JDK main-line development https://openjdk.org/projects/jdk
kovidgoyal/calibre
The official source code repository for the calibre ebook manager
apple/foundationdb
FoundationDB - the open source, distributed, transactional key-value store
kylemanna/docker-openvpn
π OpenVPN server in a Docker container complete with an EasyRSA PKI CA
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
uber/kraken
P2P Docker registry capable of distributing TBs of data in seconds
fluent/fluent-bit
Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX and Windows
feast-dev/feast
The Open Source Feature Store for Machine Learning
flyteorg/flyte
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
unifi-utilities/unifios-utilities
A collection of enhancements for UnifiOS based devices
containers/bubblewrap
Low-level unprivileged sandboxing tool used by Flatpak and similar projects
determined-ai/determined
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
pf4j/pf4j
Plugin Framework for Java (PF4J)
uber/petastorm
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, and PySpark and can be used from pure Python code.
testcontainers/testcontainers-python
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.
bytewax/bytewax
Python Stream Processing
uber/fiber
Distributed Computing for AI Made Simple
uber/neuropod
A uniform interface to run deep learning models from multiple frameworks
airspeed-velocity/asv
Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
sql-machine-learning/elasticdl
Kubernetes-native Deep Learning Framework
corneliusweig/ketall
Like `kubectl get all`, but get really all resources
tensorflow/cloud
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 in the cloud.
bazel-contrib/bazel-mypy-integration
ππΏπ Integrate MyPy type-checking into your Python Bazel builds
Azure/feast-azure
Azure plugins for Feast (FEAture STore)
feast-dev/feast-workshop
A workshop with several modules to help learn Feast, an open-source feature store
bennfocus/feast-hive
Hive support for Feast offline store
nossrannug/feast-postgres
PostgreSQL offline and online stores for Feast
tecton-ai/tecton-http-client-java
Tecton Online Store Java Client