- Singapore
- yxtay.github.io
Stars
This page features AIOStreams templates and AIOMetadata configs for your perfect all-in-one stremio setup.
Curated regex patterns for sorting - designed to streamline content selection, based on TRaSH Guides recommendations.
Ansible playbooks to quickly setup a homelab. The playbook will update the system, install Docker, and then deploy the Docker containers.
🐋 Ansible playbook which helps you host various FOSS services as Docker containers on your own server
Build a full-featured home server or NAS replacement with an Ubuntu box and this playbook.
Minimal Container Images for Databricks Container Service
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Machine learning metrics for distributed, scalable PyTorch applications.
Benchmark the speed of different Zsh plugin managers
An intuitive web tool for real-time testing of DNS over HTTPS (DoH) server speeds directly in your browser, designed to enhance and optimize your internet browsing experience.
Transformer Recommender Models in PyTorch with MovieLens
An extremely fast Python package and project manager, written in Rust.
An extremely fast Python linter and code formatter, written in Rust.
Observe FastAPI app with three pillars of observability: Traces (Tempo), Metrics (Prometheus), Logs (Loki) on Grafana through OpenTelemetry.
This is a repository of public data sources for Recommender Systems (RS).
Python example app incorporating best practices
This is a Next.js, Tailwind CSS blogging starter template. Comes out of the box configured with the latest technologies to make technical writing a breeze. Easily configurable and customizable. Per…
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Ready-to-run Docker images containing Jupyter applications
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Best Practices on Recommendation Systems
FastAPI framework, high performance, easy to learn, fast to code, ready for production
The Google Cloud Developer's Cheat Sheet
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.