David Holtz (dmholtz)

dmholtz

User data from Github https://github.com/dmholtz

Company:University of Stuttgart

Location:Stuttgart, Germany

Home Page:https://youtube.com/c/ftrobotics

GitHub:@dmholtz

David Holtz's repositories

ft_robot

fischertechnik industrial robot

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graffiti

Efficient Go implementations of graph data structures and algorithms such as (bi-directional) Dijkstra's Algorithm, A*, Arcflags, ALT and more

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omniwheel-rc

A remote control for fischertechnik omniwheel vehicle built with Vue.js

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avr-hal

embedded-hal abstractions for AVR microcontrollers

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avr-hal-template

cargo-generate template for avr-hal projects

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BEVDet

Official code base of the BEVDet series .

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BEVFormer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

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EmerNeRF

PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

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ft-hal

Rusty Hardware Abstraction Layer (HAL) for fischertechnik-compatible controllers

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ftduino

fischertechnik compatible arduino

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GUMP

Generative model for Unified Motion Planning tasks

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mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

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nerfstudio

A collaboration friendly studio for NeRFs

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neurad-studio

[CVPR2024] NeuRAD: Neural Rendering for Autonomous Driving

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nn-workshop

Repository for the NN workshop at Sommerakademie 2023

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odxtools

Set of utilities to interact with automotive diagnostic descriptions of electronic control units

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PETR

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

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sbom4python

A tool to generate a SBOM (Software Bill of Materials) for an installed Python module

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scenario_runner

Traffic scenario definition and execution engine

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schedule_free

Schedule-Free Optimization in PyTorch

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tiny-cuda-nn

Lightning fast C++/CUDA neural network framework

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txt4.0-wiki

A collection of resources for unleashing the true power of the TXT 4.0

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UniAD

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

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