OctoAI (octoml)

OctoAI

octoml

Geek Repo

Optimizing machine learning using machine learning

Location:Seattle

Home Page:octo.ai

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OctoAI's repositories

octoai-textgen-cookbook

Simple getting-started code examples for LLM applications powered by OctoAI

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octoml-llm-qa

A code sample that shows how to use 🦜️🔗langchain, 🦙llama_index and a hosted LLM endpoint to do a standard chat or Q&A about a pdf document

dockercon23-octoai

DockerCon 2023 OctoAI AI/ML Workshop GitHub Repo

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LLM-RAG-Examples

OctoAI LLM RAG samples

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mlc-llm

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

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octoai-apps

A collection of OctoAI-based demos.

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macho-dyld

Custom dyld version inherited from original Apple dyld implementation

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fern-config

Configuration for generating SDKs and Documentation.

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llama-recipes

Examples and recipes for Llama 2 model

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langchain

⚡ Building applications with LLMs through composability ⚡

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BiRefNet

[arXiv'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation

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docker_auth

Authentication server for Docker Registry 2

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go-jose

An implementation of JOSE standards (JWE, JWS, JWT) in Go

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go-oidc

A Go OpenID Connect client.

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homebrew-tap

Homebrew Tap of OctoML products and tools.

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image-background-remove-tool

✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

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llm-examples

A repo containing code examples that feature OctoAI's LLM solution

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octoai-model-examples

A set of models you can build and deploy on octoai

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pinecone-rag-demo

Pinecone + Vercel RAG application, showcasing a comparison between chat with no context and using a Pinecone index for context

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pre-commit-kustomize

pre-commit hook which runs kustomize docker image (use with https://github.com/pre-commit/pre-commit)

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TensorRT-LLM-release

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

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tflint-ruleset-google

TFLint ruleset for terraform-provider-google

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unstructured

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

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vllm-project

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

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