atztao's repositories
3D-Machine-Learning
A resource repository for 3D machine learning
3D-MiniNet
Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation
awesome-elisp
A curated list of emacs-lisp development resources
DeepHash-pytorch
Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
fusibile
Depthmap fusion with depth and normal consistency check
geoidheight
Calculate height of WGS84 geoid
Hierarchical-Localization
Visual localization made easy with hloc
lf-net-release
Code Release for LF-Net: Learning Local Features from Images
nerf
Code release for NeRF (Neural Radiance Fields)
nerfmm
(Arxiv 2021) NeRF--: Neural Radiance Fields Without Known Camera Parameters
Nothing-
Simply Playing
onnx
Open standard for machine learning interoperability
super-colmap
SuperPoint replace the sift in colmap framework
SuperPoint
Efficient neural feature detector and descriptor
Swin-Transformer-TF
Tensorflow implementation of Swin Transformer model.
TensoRF
[ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields
TensorFlow2.0_ResNet
A ResNet(ResNet18, ResNet34, ResNet50, ResNet101, ResNet152) implementation using TensorFlow-2.0.
text2anything
A unified framework for 3D content generation.
tfmatch
TensorFlow implementation of GeoDesc (ECCV'18), ContextDesc (CVPR'19) and ASLFeat (CVPR'20)
Visualize-Optimization-Algorithms
Visualization of some well-know numerical optimization methods