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Search results for pytorch cloud computing
cloud-computing
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pytorch
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4 search results found
Pai
⭐
2,592
Resource scheduling and cluster management for AI
Xla
⭐
2,212
Enabling PyTorch on XLA Devices (e.g. Google TPU)
3d Pointcloud
⭐
1,940
Papers and Datasets about Point Cloud.
Dgcnn
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1,179
Torchsparse
⭐
998
TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
Superpoint_graph
⭐
691
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Pointflow
⭐
641
PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
Atlasnet
⭐
561
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
Modal Examples
⭐
450
Examples of programs built using Modal
Nboost
⭐
439
NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)
Point2mesh
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408
Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
Pct
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352
Jittor implementation of PCT:Point Cloud Transformer
Adaptdl
⭐
339
Resource-adaptive cluster scheduler for deep learning training.
Samplenet
⭐
324
Differentiable Point Cloud Sampling (CVPR 2020 Oral)
Complex Yolo
⭐
320
Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet
Squirrel Core
⭐
271
A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way 🌰
Awesome Automanous 3d Detection Methods
⭐
265
Rust Mlops Template
⭐
196
A work in progress to build out solutions in Rust for MLOPs
Deepmapping
⭐
191
[CVPR2019 Oral] Self-supervised Point Cloud Map Estimation
P2b
⭐
166
P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds
Pytorch 3d Point Cloud Generation
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145
Pytorch code to construct a 3D point cloud model from single RGB image.
Pointconv_pytorch
⭐
136
pytorch version of PointConv
Ml Model Ci
⭐
135
MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.
Deep Learning For Lidar Point Clouds
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134
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Spa Gan_for_cloud_removal
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123
Cloud Removal for High-resolution Remote Sensing Imagery based on Generative Adversarial Networks.
Voxelnet Pytorch
⭐
101
Pointcloudlib
⭐
100
Jittor Library for Point Cloud Processing
Chamferdistancepytorch
⭐
93
Chamfer Distance in Pytorch with f-score
Gacnet
⭐
82
Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'
Densepoint
⭐
80
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)
Awesome 3d Point Cloud Semantic Segement
⭐
78
3D点云语义分割汇总,所有顶会论文以及一些arxiv上的最新论文
Pcpnet
⭐
78
Pytorch implementation of PCPNet
Pytorchemd
⭐
77
PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression
Awesome Point Cloud Learning
⭐
66
A curated list of papers & resources linked to deep learning on point clouds.
Object Cut
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62
✂️ Cut the main object of an image automagically
Torch Points Kernels
⭐
57
Pytorch kernels for spatial operations on point clouds
Softpool
⭐
56
SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification, accepted in ECCV 2020 as oral
Randla Net Pytorch
⭐
43
PyTorch implementation of RandLA-Net
Gpt 2xy
⭐
39
GPT-2 User Interface based on HuggingFace's Pytorch Implementation
Qecnetworks
⭐
37
Official implementation of the ECCV 2020 Oral Paper "Quaternion Equivariant Capsule Networks for 3D Point Clouds"
Squirrel Datasets Core
⭐
37
Squirrel dataset hub
Attentional Pointnet
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34
Attentional-PointNet is Deep-Neural-Network architecture for 3D object detection in point clouds
Pointcloudengine
⭐
34
Point Cloud Rendering Engine with Octree Generation, Splat Blending, Phong Lighting and Neural Network Evaluation
Plz
⭐
31
Say the magic word 😸
Pointmixup
⭐
30
Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation
Pcrnet_pytorch
⭐
29
This is a pytorch implementation of PCRNet
If Defense
⭐
28
This is the official pytorch implementation for paper: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration
Ppf Foldnet
⭐
26
PyTorch reimplementation for "PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors" https://arxiv.org/abs/1808.10322
Pytorch Dgcnn
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25
Pytorch implementation of Dynamic Graph CNN for Learning on Point Clouds (EdgeConv)
Geometric_adv
⭐
21
Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)
Model Training And Deployment
⭐
20
Training and deployment of deep learning models for satellite & aerial imagery
Point Cloud Gan
⭐
20
The code for Point Cloud GAN
Anomaly_prediction
⭐
19
Pytorch implementation of anomaly prediction.
Pointcloududa
⭐
19
[IEEE-TMI 2021] This is our PyTorch implementation for Adapt Everywhere paper on unsupervised domain adaptation using entropy and point-cloud paper.
Kaggle Understanding Clouds 69th Solution
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19
69th(Silver) Solution of "Understanding Clouds from Satellite Images | Kaggle" with PyTorch-Lightning
Pytorch_points
⭐
14
a pytorch extension for learning point clouds
Shockwave
⭐
14
Code for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]
Nopc
⭐
14
Pytorch implementation of Neural Opacity Point Cloud.
Drnet
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13
Dense-Resolution Network for Point Cloud Classification and Segmentation (WACV 2021)
Benchkit
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9
Pytorch directly integrated to the cloud all through Bench AI!
Morton Net
⭐
9
PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and the features can be used for general tasks like part or semantic segmentation of point clouds.
Pointnet12
⭐
8
Combination of Pointnet and Pointnet++ with KITTI Point Cloud Semantic Segmentation Dataset
Google_cloud_tutorial
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7
This repo helps how to build up a free Pytorch environment on google cloud for CSC249/449
Ecg
⭐
7
ECG: Edge-aware Point Cloud Completion with Graph Convolution
Containers Ml And Cloud Computing
⭐
6
Everything about how to deploy projects on the cloud, run ML workloads on the HPC cluster and on the cloud and the efficient configuration and management of related collaborative platforms [e.g. container orchestration].
Distributed Evolutionary Ml
⭐
5
A tool for experimenting with evolutionary optimization methods for machine learning algorithms, by distributing the workload over a large number of compute nodes on the IBM Cloud. For now, it only includes an implementation of [Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning](https://arxiv.org/abs/1712.06567).
Pointsite
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5
PointSite: a point cloud segmentation tool for identification of protein ligand binding atoms
Aerial_pc_classification
⭐
5
Segmentation of urban aerial point clouds with Deep Learning in Pytorch.
Tdpnet
⭐
5
Pytorch implementation of "Single View Point Cloud Generation via Unified 3D Prototype" (AAAI 2021)
Azure Serverless Computing Cookbook Third Edition
⭐
5
Build and monitor Azure applications hosted on serverless architecture using Azure functions
Rcnet
⭐
5
Code for "Point cloud processing via recurrent set encoding"
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