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latexify_py

A library to generate LaTeX expression from Python code.

learning-deep-learning

Paper reading notes on Deep Learning and Machine Learning

lightning-hydra-template

Save for later use

machine-learning-systems-design

A booklet on machine learning systems design with exercises

mask2former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

math6380p

MATH 6380P Advanced Topics in Deep Learning (Fall 2020)

mcubes_pytorch

Marching cubes implementation for PyTorch environment.

mesh_segmentation

some materials about mesh segmentation, including papers, videos, codes, and so on. Updating every day!

mesh_to_sdf_modified

Calculate signed distance fields for arbitrary meshes

meshcnn

Convolutional Neural Network for 3D meshes in PyTorch

midas

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"

mitsuba-visualize

Visualizes meshes, pointclouds and video flythroughs in publication quality

mtml_pytorch_implementation

Unofficial implementation of 3D Instance Segmentation via Multi-Task Metric Learning (MTML)

networks-beyond-attention

A compilation of network architectures for vision and others without usage of self-attention mechanism

neural-rgbd-surface-reconstruction

neural_style_transfer

Neural style transfer with Pytorch

nsff_pl

Neural Scene Flow Fields using pytorch-lightning, with potential improvements

ocean_litter_detection

해양쓰레기 검출 자동화 프로젝트입니다.

oceanlitter_dataset_generator

해양쓰레기 데이터를 생성해주는 Cycle_GAN입니다.

odise

Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]

once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

online-movie-streamming

[WEB-Project] Movie streaming website

opendr

A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning

paco

This repo contains documentation and code needed to use PACO dataset: data loaders and training and evaluation scripts for objects, parts, and attributes prediction models, query evaluation scripts, and visualization notebooks.

panoramic_material

partsegmentationtoolbox

Toolbox to create manual segmentations and map segmentation results to different resolutions

photo-sharing

[Aptech-Project] Semester 4

picasso

plotneuralnet

Latex code for making neural networks diagrams

point-cloud-utils

A Python library for common tasks on 3D point clouds