Adam Tonderski (atonderski)

atonderski

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

GitHub:@atonderski

Adam Tonderski's repositories

neuro-ncap

NeuroNCAP benchmark for end-to-end autonomous driving

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lidarclip

Bridging lidar and text through image intermediaries

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future-object-detection

This is the official repository for "Future Object Detection with Spatiotemporal Transformer"

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mmdetection3d

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

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TrafficMadness

Simulations of complex traffic behaviours

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autonomous-robot

Project in the Autonomous Robots Course (TME-290)

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autonomous-robots-assignments

Assignments in the Autonomous Robots course

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NeuralNetworks

Lab 1 in neural networks course

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ComplexSimulations

Repo for assignments in the complex simulations course

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ComputationalBiology

Repo for storing the assignments in the Computational Biology course

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ConditionalDETR

This repository is an official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence". (https://arxiv.org/abs/2108.06152)

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CycleGAN_improved

Pytorch Implementation of CycleGAN, and its incremental improvement

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dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

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DynamicalSystems

Course assignments from Dynamical Systems course

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FrameworkBenchmarks

Source code for the framework benchmarking project

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kiss-icp

A LiDAR odometry pipeline that just works

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kitti_native_evaluation

Evaluation of 3D object detection performance on the KITTI dataset.

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MAE-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

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patchnet

Code release for "Rethinking Pseudo-LiDAR Representation (ECCV2020)".

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progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

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SE-SSD

SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud, CVPR 2021.

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SST-lidarclip

Fork of SST for use with lidarclip

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stylegan2-ada-pytorch

StyleGAN2-ADA - Official PyTorch implementation

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tda231-ml-course

Solutions to assignments in the machine learning course

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unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

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viser

Web-based 3D visualization + Python

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