Class notes for the course "Long Term Memory in AI - Vector Search and Databases" COS 597A @ Princeton Fall 2023

TensorDict is a pytorch dedicated tensor container.

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

Ibis Substrait Compiler

Hummingbird compiles trained ML models into tensor computation for faster inference.

System for automated integration of deep learning backends.

PyTorch Extension Library of Optimized Scatter Operations

A cross platform way to express data transformation, relational algebra, standardized record expression and plans.

Peregrine is a workload optimization platform for cloud query engines. The goal of Peregrine is three-fold: 1. make it easier to ingest and analyze query workload telemetry into a common engine-agn…

ONNXMLTools enables conversion of models to ONNX

Open Machine Learning Compiler Framework

scikit-learn: machine learning in Python

Mirror of Apache REEF

A curated list of articles that cover the software engineering best practices for building machine learning applications.

Some notes on things I find interesting and important.

Rust bindings for the C++ api of PyTorch.

A complete computer science study plan to become a software engineer.

VIP cheatsheets for Stanford's CS 229 Machine Learning

Taking a latex glove to PyTorch internals

A .NET library that provides access to the library that powers PyTorch.

Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

A simple library for creating state machines in C# code

ML.NET is an open source and cross-platform machine learning framework for .NET.

System design interview for IT companies

Open source implementation of multi-sets (or bags) for Scala collection

Dempster-Shafer C++ Library for Evidence Theory

Prototype Bud runtime (Bloom Under Development)