Larissa Triess's Projects
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
:christmas_tree: My Rust solutions for "Advent of Code" 2020 https://adventofcode.com/2020
A template for the Google Code Jam Contest. Feel free to fork and share.
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Coursera: Algorithms Specialization
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021, Oral)
:wrench: Configuration for Zsh, Vim and Tmux
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution, together with the fast GPU inference library for sparse convolution.
Tutorial on Command Line Applications in Rust
My attempt to solve the HackerRank Interview Preparation Kit
:hash: Google Hash Code 2020
:santa: programming problems of IEEE Advent Calendar 2018
:santa: programming problems of IEEE Advent Calendar 2019
:snake: Python Implementation for KITTI Scan Unfolding
Code for "Deep Generative Models for LiDAR Data"
Personal Repository
:computer: personal webpage
OpenMMLab's next-generation platform for general 3D object detection.
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
:sparkles: PointNet++ feature extractor and output heads implemented in TensorFlow 1.15 with Keras Models
:chart_with_downwards_trend: Get some nice plots with statistics about the Semantic KITTI dataset
:fast_forward: A personal collection of useful functions for training and visualization with TensorFlow.
A neural network training interface based on PyTorch, with a focus on flexibility
Voxelize point clouds.