Explore Projects
Discover 173 open source projects
Showing 41-60 of 173 projects
knative/serving
Knative Serving is a Kubernetes-based, scale-to-zero, request-driven compute platform for building and deploying serverless applications.
gothinkster/react-redux-realworld-example-app
An exemplary real-world application built with React and Redux, serving as a learning resource for developers.
lightdash/lightdash
Lightdash is a self-serve BI tool that helps data teams 10x their productivity with data visualization and analytics.
OpenBMB/ToolBench
An open platform for training, serving, and evaluating large language models for tool learning.
volcano-sh/volcano
A Cloud Native Batch System for running AI/ML workloads on Kubernetes at scale.
superduper-io/superduper
Superduper is an end-to-end framework for building custom AI applications and agents using Python, PyTorch, and Transformers.
brianfrankcooper/YCSB
YCSB is a popular open-source load testing framework for cloud serving systems written in Java.
flashinfer-ai/flashinfer
A Python library for serving large language models (LLMs) with high performance, including GPU acceleration and distributed inference.
microsoft/SPTAG
A high-quality, distributed vector search library for large-scale AI and machine learning applications.
kvcache-ai/Mooncake
Mooncake is a serving platform for Kimi, a leading LLM service provided by Moonshot AI, focused on disaggregation, inference, and RDMA.
tencentmusic/cube-studio
An open-source cloud-native AI platform for ML/DL workflows, model serving, and distributed training.
SylphAI-Inc/LLM-engineer-handbook
A curated list of Large Language Model resources for training, serving, fine-tuning, and building LLM applications.
SeldonIO/seldon-core
An MLOps framework for packaging, deploying, monitoring, and managing machine learning models.
SPLWare/esProc
esProc SPL is a JVM-based programming language for structured data computation, serving as both a data analysis tool and an embedded computing engine.
lm-sys/RouteLLM
Framework for routing LLM requests to optimize costs while maintaining response quality
gpustack/gpustack
Optimize AI inference performance on GPUs with this Python library for selecting and tuning inference engines.
ahkarami/Deep-Learning-in-Production
A repository sharing notes and references on deploying deep learning models in production.
imazen/imageflow
High-performance image manipulation library for web servers, supporting image compression, processing, and serving.
pytorch/serve
Serves, optimizes, and scales PyTorch models for production use
ericniebler/range-v3
A C++14/17/20 range library that serves as the basis for C++20's std::ranges
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