The official Meta Llama 3 GitHub site

A playbook for systematically maximizing the performance of deep learning models.

The code, training pipeline, and models that power Firefox Translations

Fast Neural Machine Translation in C++ - development repository

Fast and memory-efficient exact attention

Language-Agnostic SEntence Representations

A tool that locates, downloads, and extracts machine translation corpora

Fast Neural Machine Translation in C++ - development repository

Reference BLEU implementation that auto-downloads test sets and reports a version string to facilitate cross-lab comparisons

Trax — Deep Learning with Clear Code and Speed

A curated list of amazingly awesome Home Assistant resources.

🏠 Home Assistant configuration & Documentation for my Smart House. Write-ups, videos, part lists, and links throughout. Be sure to ⭐ it. Updated FREQUENTLY!

Protect your SD card against wear and tear

Accelerating new GitHub Actions workflows

Config files for ZSH, Java, Ruby, Go, Editors, Terminals and more.

Efficient teacher-student models and scripts to make them

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Reverse-mode automatic differentiation in Rust (experiment)

✨ A different take on designing a Lovelace UI (Dashboard)

API to fetch weather maps from the Met Office using their DataPoint web services. Written in PHP.

Mundana is a free Jekyll theme, Medium styled.

Unified lighting effects across multiple brands and various games.

A configurable jekyll theme for simply beautiful blogs.

A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

😎 Awesome lists about all kinds of interesting topics

A machine learning course using Python, Jupyter Notebooks, and OpenML

🤖⚡ 50 scikit-learn tips

🔧 .files, including ~/.macos — sensible hacker defaults for macOS

Resources for weekly Data Science Lunch & Learns

scikit-learn: machine learning in Python