Christian Kadner (ckadner)

ckadner

Geek Repo

Company:@IBM

Location:Santa Cruz, CA

Home Page:https://developer.ibm.com/open/

Github PK Tool:Github PK Tool


Organizations
apache
CODAIT
kserve
kubeflow
machine-learning-exchange

Christian Kadner's repositories

katalog

MLX Katalog is a project to hold the default content samples to bootstrap Machine Learning eXchange.

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modelmesh-minio-examples

ModelMesh example models packaged into a MinIO container for user exploration and functional verification testing

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pipelines

Machine Learning Pipelines for Kubeflow

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caikit

Caikit is an AI toolkit that enables users to manage models through a set of developer friendly APIs.

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caikit-template

Template for generating Caikit extensions

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community

KServe community docs for contributions and process

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docs

The open-source repo for docs.github.com

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eclairjs-examples

Examples for eclairjs-node and eclairjs-nashorn

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examples

A repository to host extended examples and tutorials

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flash-attention

Fast and memory-efficient exact attention

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kernel_gateway_demos

Demos associated with the kernel gateway incubator project

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kserve

Serverless Inferencing on Kubernetes

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kserve_website

User documentation for KServe.

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llama-gpt

A self-hosted, offline, ChatGPT-like chatbot. Powered by Llama 2. 100% private, with no data leaving your device. New: Code Llama support!

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modelmesh

Distributed Model Serving Framework

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modelmesh-performance

ModelMesh Performance Scripts, Dashboard and Pipelines

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modelmesh-runtime-adapter

Unified runtime-adapter image of the sidecar containers which run in the modelmesh pods

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modelmesh-serving

Controller for ModelMesh

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oshi

Native Operating System and Hardware Information

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rest-proxy

KServe V2 Protocol Rest API Implementation Proxy

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taxonomy

Taxonomy tree that will allow you to create models tuned with your data

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text-generation-inference

IBM development fork of https://github.com/huggingface/text-generation-inference

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text-generation-router

Routing proxy for TGIS

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vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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