kennosuke884's Stars
earnestt1234/seedir
A Python package for creating, editing, and reading folder tree diagrams
huaaaliu/RGBX_Semantic_Segmentation
NVlabs/SegFormer
Official PyTorch implementation of SegFormer
nianticlabs/manydepth
[CVPR 2021] Self-supervised depth estimation from short sequences
alexklwong/calibrated-backprojection-network
PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)
fangchangma/self-supervised-depth-completion
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
alexklwong/awesome-state-of-depth-completion
Current state of supervised and unsupervised depth completion methods
IntelRealSense/librealsense
Intel® RealSense™ SDK
anheidelonghu/ACNet
ACNet: Attention Complementary Network for RGBD semantic segmentation
TUI-NICR/ESANet
ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
Yangzhangcst/RGBD-semantic-segmentation
A paper list of RGBD semantic segmentation (processing)
ternaus/cloths_segmentation
Code for binary segmentation of cloths
labmlai/neox
Simple Annotated implementation of GPT-NeoX in PyTorch
jacobgil/vit-explain
Explainability for Vision Transformers
kli8996/HSISR
amazon-science/exponential-moving-average-normalization
PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482
optuna/optuna-examples
Examples for https://github.com/optuna/optuna
optuna/optuna
A hyperparameter optimization framework
rishikksh20/CeiT-pytorch
Implementation of Convolutional enhanced image Transformer
Mawiszus/World-GAN
Official repository for "World-GAN: a Generative Model for Minecraft Worlds" by Maren Awiszus, Frederik Schubert and Bodo Rosenhahn.
practical-tutorials/project-based-learning
Curated list of project-based tutorials
meetvora/mlp-classifier
A handwritten multilayer perceptron classifer using numpy.
EbookFoundation/free-programming-books
:books: Freely available programming books
zotroneneis/machine_learning_basics
Plain python implementations of basic machine learning algorithms