inquestgeronimo Goto Github PK

aws-do-eks

aws-serverless-for-machine-learning-inference

This is a sample solution for bringing your own ML models and inference code, and running them at scale using AWS serverless services.

bio

Things I've built 🚀

deepsparse

Neural network inference engine that delivers GPU-class performance for sparsified models on CPUs

hacker-news-client

Python Client for Hacker News

horizon-takeoff

Automating the deployment of the Takeoff Server on AWS for LLMs

langchain

⚡ Building applications with LLMs through composability ⚡

repochat

Chatbot assistant enabling GitHub repository interaction using LLMs with Retrieval Augmented Generation

sample-flask

Sample Flask Application to be deployed on DigitalOcean's App Platform

sample-python

⛵ App Platform sample Python application.

sparseml

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

superlaser

MLOps library for LLM deployment w/ the vLLM engine on RunPod's infra.

tllm

An LLM training library for instruction-tuning.

whisperyt

Python client for Gladia's ASR API for YouTube transcription using Whisper