GitHub topic

distributed GitHub repositories

Explore 15 tracked GitHub repositories tagged distributed. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 102 stars since the previous daily snapshot.

Tracked repositories: 15
Total stars: 399,631
Stars gained · 7 days: +588
Stars gained · 30 days: +2,323

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Star activity for distributed repositories on this page
Repository	Total stars	Today	7 days	30 days
tensorflow/tensorflow	201.3K	+29	+153	+740
mudler/LocalAI	50.0K	+25	+212	+711
milvus-io/milvus	46.5K	+18	+58	+244
ray-project/ray	44.1K	+4	+41	+194
lightgbm-org/LightGBM	18.9K	+10	+36	+113

Explore repositories

Showing 1–15 of 15 tracked repositories.

tensorflow/tensorflow

An Open Source Machine Learning Framework for Everyone

★ 201.3K+29 todayC++

machine-learning python

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mudler/LocalAI

LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

★ 50.0K+25 todayGo

llm ai

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milvus-io/milvus

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

★ 46.5K+18 todayGo

llm rag

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ray-project/ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

★ 18.9K+10 todayC++

machine-learning python

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optuna/optuna

A hyperparameter optimization framework

★ 15.0K+4 todayPython

machine-learning distributed

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h2oai/h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Eventual-Inc/Daft

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

★ 5.8K+2 todayRust

machine-learning python

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Mesh-LLM/mesh-llm

Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat.

★ 3.6K+4 todayRust

llm ai

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kubeflow/trainer

Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

★ 2.3K+2 todayGo

llm ai

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modal-labs/modal-examples

Examples of programs built using Modal

★ 1.3K+2 todayPython

machine-learning pytorch

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sparklyr/sparklyr

R interface for Apache Spark

★ 972+0 todayR

machine-learning distributed

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AgileRL/AgileRL

The complete post-training stack for LLMs, plus RL for any problem. SFT, DPO and multi-turn agentic RL, with evolutionary hyperparameter optimization built in.