Kserve
kserve
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
DevopsReview before use
5.6KGitHub
OPENAGENTSKILL / DIRECTORY
AI Agent Skills
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Results · “generative-models”
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Results: 117
Vllm Omni
vllm-project
A framework for efficient model inference with omni-modality models
Media AutomationReview before use
5.2KGitHub
Orientdb
orientechnologies
OrientDB is the most versatile DBMS supporting Graph, Document, Reactive, Full-Text and Geospatial models in one Multi-Model product. OrientDB can run distributed (Multi…
DataReview before use
5KGitHub
Flask AppBuilder
dpgaspar
Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more.…
DataReview before use
5KGitHub
Speech To Speech
huggingface
Build local voice agents with open-source models
Ml AutomationReview before use
4.9KGitHub
Text Embeddings Inference
huggingface
A blazing fast inference solution for text embeddings models
ResearchReview before use
4.9KGitHub
Aidea
mylxsw
An APP that integrates mainstream large language models and image generation models, built with Flutter, with fully open-source code.
6.9KGitHub
Statsforecast
Nixtla
Lightning ⚡️ fast forecasting with statistical and econometric models.
Ml AutomationReview before use
4.8KGitHub
Thunderbolt
thunderbird
AI You Control: Choose your models. Own your data. Eliminate vendor lock-in.
Agent FrameworksReview before use
4.7KGitHub
PINTO Model Zoo
PINTO0309
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, Ten…
Robotics IotReview before use
4.4KGitHub
Datamodel Code Generator
koxudaxi
Generate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV.
DataReview before use
3.9KGitHub
Claude Octopus
nyldn
Surface AI blindspots before you ship. Put up to 8 AI models on every research, design or coding task.
3.8KGitHub
Lit
PAIR-code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Ml AutomationReview before use
3.7KGitHub
TransformerEngine
NVIDIA
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, t…
Ml AutomationReview before use
3.4KGitHub
Seldon Core
SeldonIO
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Ml AutomationReview before use
4.8KGitHub
Shapash
MAIF
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Ml AutomationReview before use
3.2KGitHub
External platform skills
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