A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training

Don't use stateful RNGs on the GPU!

Submit stacked diffs to GitHub on the command line

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. This fork is used to manage Swift’s stable releases of Clang as well as support the Swift project.

The Swift Programming Language

Open Machine Learning Compiler Framework

PyTorch original implementation of Cross-lingual Language Model Pretraining.

Code for: "And the bit goes down: Revisiting the quantization of neural networks"

VDMS: Your Favorite Visual Data Management System

Interview questions

Versatile resource statistics tool (the real one, not the Red Hat clone)

Linux CLI tool providing real-time system resource monitoring

A Relational Optimizer and Executor

VQVAEs, GumbelSoftmaxes and friends

Google Research

LocationSpark: A Distributed In-Memory Data Management System for Big Spatial Data

A library for efficient similarity search and clustering of dense vectors.

ProbZelus is a library to extends the synchronous programming language Zelus with probabilistic programming.

Explore the energy-efficient dataflow scheduling for neural networks.

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

Declarative cluster management using constraint programming, where constraints are described using SQL.

DDlog is a programming language for incremental computation. It is well suited for writing programs that continuously update their output in response to input changes. A DDlog programmer does not w…

Dependent Object Types (DOT), bottom up

GraalVM compiles applications into native executables that start instantly, scale fast, and use fewer compute resources 🚀

Neural Turing Machines (NTM) - PyTorch Implementation

A Neural Turing Machine implementation in Torch.

"Neural Turing Machine" in Tensorflow

Implementation of Lightweight Modular Staging (LMS) in Python