Made With ML
GokuMohandas
Learn how to develop, deploy and iterate on production-grade ML applications.
OPENAGENTSKILL / DIRECTORY
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
1–16 / 36
Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 36
GokuMohandas
Learn how to develop, deploy and iterate on production-grade ML applications.
lightgbm-org
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…
longhorn
Cloud-Native distributed storage built on and for Kubernetes
tensorflow
An Open Source Machine Learning Framework for Everyone
etcd-io
Distributed reliable key-value store for the most critical data of a distributed system
ray-project
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
milvus-io
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
seaweedfs
SeaweedFS is a distributed storage system for object storage (S3), file systems, and Iceberg tables, designed to handle billions of files with O(1) disk access and effor…
apache
Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.
surrealdb
A scalable, distributed, collaborative, document-graph database, for the realtime web
cockroachdb
CockroachDB — the cloud native, distributed SQL database designed for high availability, effortless scale, and control over data placement.
dmlc
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask,…
PaddlePaddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
ageron
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.