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adabins

Official implementation of Adabins: Depth Estimation using adaptive bins

alea

Define and compose random variables

anello_user_tool

Logging and configuration tool for the A-1

consistent_depth

We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.

deeplab2

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

dpvo

Deep Patch Visual Odometry

erlzmq

Erlang binding for 0MQ (v2)

fast-depth

ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"

flowformer

our fork of FlowFormer

glpdepth

graphmath

An Elixir library for performing 2D and 3D mathematics.

interpretablemde

Code repo for "Towards Interpretable Deep Networks for Monocular Depth Estimation" paper.

kinematic3d

kinematicbicyclemodel

A Python description of the Kinematic Bicycle Model with an animated example.

lift-splat-shoot

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

manydepth

[CVPR 2021] Self-supervised depth estimation from short sequences

mgnet

Code release for "MGNet: Monocular Geometric Scene Understanding for Autonomous Driving"

mobilestereonet

Lightweight stereo matching network based on MobileNetV1 and MobileNetV2

monocular-depth-estimation-toolbox

Monocular Depth Estimation Toolbox based on MMSegmentation.

nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

newcrfs

nico

a Game Framework in Nim inspired by Pico-8.

nimler

Erlang/Elixir NIFs in Nim

openpilot

Pilotier version

packnet-sfm

TRI-ML Monocular Depth Estimation Repository

pathplanning

Common used path planning algorithms with animations.

protopnet

This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).

pypm

A simple Python process manager

r_zstd

RZstd is a Rust based zstd bindings to Elixir

rustler

Safe Rust bridge for creating Erlang NIF functions