A PyTorch Library for Accelerating 3D Deep Learning Research
- pytorch
- 3d-deep-learning
- neural-networks
- differentiable-rendering
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A PyTorch Library for Accelerating 3D Deep Learning Research
napari: a fast, interactive, multi-dimensional image viewer for python
World's first general purpose 3D object detection codebse.
Evaluate OMR sheets fast and accurately using a scanner 🖨 or your phone 🤳.
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
3D medical imaging reconstruction software
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)
SA-SSD: Structure Aware Single-stage 3D Object Detection from Point Cloud (CVPR 2020)
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
Automated 3D cell detection in very large images
Generate a GitHub stats SVG for your GitHub Profile README in GitHub Actions
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
Real-Time Spherical Array Renderer for binaural reproduction in Python
An interactive image processing program for biologists written in Python.
A python package to analyze the matrix fiber orientation and intensity around cells in fiber matrices (as a proxy for cellular forces).