Ganners

google-research

Google Research

lexical

Lexical is an extensible text editor framework that provides excellent reliability, accessibility and performance.

ivy

Convert Machine Learning Code Between Frameworks

vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

latexify_py

A library to generate LaTeX expression from Python code.

gorgonia

Gorgonia is a library that helps facilitate machine learning in Go.

cvxpy

A Python-embedded modeling language for convex optimization problems.

flashlight

A C++ standalone library for machine learning

kajiya

💡 Experimental real-time global illumination renderer 🦀

awesome-hpp

A curated list of awesome header-only C++ libraries

data-science-on-aws

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

MLQuestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

overgrowth

Open Source codebase of the game Overgrowth by Wolfire Games LLC

ABigSurvey

A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).

feathr

Feathr – A scalable, unified data and AI engineering platform for enterprise

blog

Some notes on things I find interesting and important.

torchrec

Pytorch domain library for recommendation systems

probtorch

Probabilistic Torch is library for deep generative models that extends PyTorch

cuda-python

CUDA Python Low-level Bindings

GENRE

Autoregressive Entity Retrieval

TonY

TonY is a framework to natively run deep learning frameworks on Apache Hadoop.

cornell-mcray

🕹 A quick'n'dirty game sample using kajiya, physx-rs, and dolly

ReSTIR_PT

Source Code for SIGGRAPH 2022 Paper "Generalized Resampled Importance Sampling: Foundations of ReSTIR"

REL

REL: Radboud Entity Linker

elliot

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

RecLab

autodiff

Autodiff is a numerical library for the Go programming language that supports automatic differentiation. It implements routines for linear algebra (vector/matrix operations), numerical optimization and statistics

poismf

(Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)

rl_for_budget_constrained_recs

ranking_constraints