SachinVarghese

SachinVarghese's Stars

• lfai/model_openness_tool

  Model Openness Tool

  Language:PHP65

• kubernetes-sigs/lws

  LeaderWorkerSet: An API for deploying a group of pods as a unit of replication

  Language:Go14127

• aws-samples/foundation-model-benchmarking-tool

  Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stack options.

  Language:Jupyter Notebook20231

• aws/sagemaker-inference-toolkit

  Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

  Language:Python39282

• aws/deep-learning-containers

  AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.

  Language:Python1k464

• vllm-project/vllm

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

  Language:Python31k4.7k

• SachinVarghese/telma

  Toolkit Evaluator for Language Model Agents

  Language:Jupyter Notebook1

• triton-inference-server/tutorials

  This repository contains tutorials and examples for Triton Inference Server

  Language:Python57796

• startreedata/pinot-client-go

  Apache Pinot Golang Client managed by StarTree

  Language:Go2810

• adriangonz/kubeedge-talk

  Inference on (the) KubeEdge

  Language:HTML121

• SeldonIO/tempo

  MLOps Python Library

  Language:Python11621

• SeldonIO/ml-prediction-schema

  Generic schema structure for machine learning model predictions

  133

• Oxford-ContEd/project15-elp

  University of Oxford - Artificial Intelligence: Cloud and Edge Implementations - Team 3 - Project 15 - Elephant Listening Project

  Language:Jupyter Notebook32

• oegedijk/explainerdashboard

  Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

  Language:Python2.3k332

• Mu-Sigma/analysis-pipelines

  Enables data scientists to compose pipelines of analysis which consist of data manipulation, exploratory analysis & reporting, as well as modeling steps. Data scientists can use tools of their choice through an R interface, and compose interoperable pipelines between R, Spark, and Python.

  Language:R281

• CMCRobotics/the-detector-is-you

  The Detector is YOU - a collaborative experience where you become part of a particle detector

  Language:JavaScript11

• mbasso/react-wasm

  Declarative WebAssembly instantiation for React

  Language:JavaScript44819

• SachinVarghese/Elixir_SymWorld

  This is a simulation project for an Elixir Actor World

  Language:Elixir1

• SachinVarghese/seldon-core

  Machine Learning Deployment for Kubernetes

  Language:HTML2

• SachinVarghese/SachinVarghese

  1

• SachinVarghese/profile

  Profile website source repository

  Language:JavaScript1

• stephanj/basketballVideoAnalysis

  Language:Jupyter Notebook29374

• facebook/create-react-app

  Set up a modern web app by running one command.

  Language:JavaScript103k26.9k

• plouc/nivo

  nivo provides a rich set of dataviz components, built on top of the awesome d3 and React libraries

  Language:TypeScript13.2k1k

• SeldonIO/alibi

  Algorithms for explaining machine learning models

  Language:Python2.4k252

• SeldonIO/seldon-core

  An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

  Language:HTML4.4k832

• marcoslin/angularAMD

  Facilitate use of RequireJS in AngularJS

  Language:JavaScript732171