SrishtiSehgal
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Slides, notes, and materials for the workshop
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
A ChatGPT bot for Kubernetes issues.
Examples and guides for using the OpenAI API
Feature engineering package with sklearn like functionality
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Repository containing notebooks of my posts on Medium
📚 A collection of useful resources for building RESTful HTTP+JSON APIs.
Free Data Engineering course!
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…
Simple, safe way to store and distribute tensors
Examples of inference pipelines implemented using https://github.com/SeldonIO/seldon-core
A light-weight, flexible, and expressive statistical data testing library
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Free MLOps course from DataTalks.Club
Assumes roles in AWS that have useful role session tags
Terraform module to create Amazon Elastic Kubernetes (EKS) resources 🇺🇦
aws2tf - automates the importing of existing AWS resources into Terraform and outputs the Terraform HCL code.
Python implementation of 'Density Based Spatial Clustering of Applications with Noise'