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the CPU implementation of bucket based farthest point sampling, achieves 7-81x speedup than the conventional implementation
🎉 PyTorch efficient farthest point sampling (FPS) library.
Python efficient farthest point sampling (FPS) library. Compatible with numpy.
A Library for Differentiable Logic Gate Networks
https://github.com/apple/ml-depth-pro
cuVS - a library for vector search and clustering on the GPU
Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
Helpful tools and examples for working with flex-attention
[CVPR 2024 Extension] 160K volumes (42M slices) datasets, new segmentation datasets, 31M-1.2B pre-trained models, various pre-training recipes, 50+ downstream tasks implementation
MICCAI 2023: Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction
nanobind: tiny and efficient C++/Python bindings
A pytorch implementation of Adaptive Robust Loss For Landmark Detection
Architecture decision record (ADR) examples for software planning, IT leadership, and template documentation
Official implementation of "Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers"
The official implementation of "A Light-weight Universal Medical Segmentation Network for Laptops Based on Knowledge Distillation" (CVPR 2024 Workshop)
MambaMIM: Pre-training Mamba with State Space Token-interpolation
The official repository of the paper "InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion" published at NeurIPS 2023
An Efficient, High-Quality 3D Segmentation for Medical Image Analysis with Constrained Computational Resources
[ECCV 2024] Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking
MONAI Versatile Imaging Segmentation and Annotation
Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering
Code for the paper "PointAttN: You Only Need Attention for Point Cloud Completion"
[ICLR 2024] DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation
[MICCAI 2024] HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training