xtream's repositories
jupytemplate
Templates for jupyter notebooks
react-native-build-hub
React Native CLI that caches native builds remotely and speeds up your development workflow for the entire team
build-your-own-gpt
Repository for the AMLD 2024 Workshop "At the cutting edge of Generative AI - Unravel the Secrets of GPT and Build Your Own Model"
movies-buddy
AI Assistant to pick your favourite movie - and didactic demo for RAG
mmm-workshop
Is your marketing effective? Let Bayes decide! Code and resources for the Marketing Media Mix model workshop.
xtream-ai-assignment-ai-scientist
Assignments for the interviews of our AI team
genai-for-engineers-class
Code and material for the class "Introduction to GenAI for Engineers"
interviews-back-end-assignment
A Backend interview exercise for the Digital Products team of xtream
interviews-front-end-assignment
This repository hosts an assignment used for interviewing candidates for the "Web & Mobile" team
xtream-ai-assignment-engineer
Assignments for the interviews of our AI team
codemotion-x0
Repo with code of "Create your own v0 exploiting GenAI" workshop @ Codemotion Workshop Fest 2024
property-based-testing-demo
Property-Based Testing ML update demo code
xtream-ai-assignment-intern
Assignments for the interviews of our AI team
autogen-talk-demo
a data viz buddy
interviews-react-assignment
A React interview exercise for the Digital Products team of xtream
libimobiledevice-windows-build
A cross-platform protocol library to communicate with iOS devices
libusbmuxd
A client library to multiplex connections from and to iOS devices
python-for-data-science-treviglio
Python for Data Science class
terraform-cloud-action
An action to run a Terraform Cloud workspace
test-reporting-with-cypress
Displays test results from popular testing frameworks directly in GitHub
trading-momentum-transformer
This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).
xtream-ai-assignment-developer
Assignments for the interviews of our AI team