Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.

This is a beginner-friendly tutorial on MLIR from the perspective of a user of MLIR, not a compiler engineer. This tutorial will introduce why MLIR exists and how it is used to compile code at diff…

A Python Compiler Design Toolkit

GPU programming related news and material links

The missing pieces (as far as boilerplate reduction goes) of the upstream MLIR python bindings.

Understanding Deep Learning - Simon J.D. Prince

Implementation of Karpathy's micrograd in Mojo 🔥

Unified compiler/runtime for interfacing with PyTorch Dynamo.

A curated list of awesome Mojo 🔥 frameworks, libraries, software and resources

MLIR For Beginners tutorial

A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

A deep dive into embeddings starting from fundamentals

A listing of compiler, language and runtime teams for people looking for jobs in this area

The MAX Platform (includes Mojo)

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A list of awesome compiler projects and papers for tensor computation and deep learning.

🎓 Sharing machine learning course / lecture notes.

Cool extensions built for the nbdev framework

A lightweight LLVM python binding for writing JIT compilers

A compiler for ARM, X86, MSP430, xtensa and more implemented in pure Python

advanced compilers

Style guide for the fastai docment sprint

fast.ai APL study group notes

A collection of libraries to optimise AI model performances

Public slides and assignments for CSCI-UA.04900: Special Topics in Programming Languages

The Hylo programming language

Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.

A standalone Swift version of LLVM's flexible pattern matching file verifier

This is an online course where you can learn and master the skill of low-level performance analysis and tuning.