Google Research

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Code release for NeRF (Neural Radiance Fields)

Best Practices, code samples, and documentation for Computer Vision.

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…

A high performance implementation of HDBSCAN clustering.

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

fizz buzz in tensorflow

The CP-SAT Primer: Using and Understanding Google OR-Tools' CP-SAT Solver

Keras implementation of GradCAM.

VAEs with Lie Group latent space

A criticism of a recent paper on buggy image downsampling methods in popular image processing and deep learning libraries.

Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.

keras implementation of gradcam_plus_plus