SAL
Shape Learning
A deep learning approach to learn implicit shape representations from raw geometric data.
SAL: Sign Agnostic Learning of Shapes From Raw Data
90 stars
4 watching
9 forks
Language: Python
last commit: about 4 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| A curated list of resources and papers on deep learning solutions for processing 3D shapes | 346 |
| Provides pre-trained deep learning model for semantic segmentation of 3D point clouds using SalsaNext architecture | 14 |
| A comprehensive framework for deep reinforcement learning using PyTorch. | 1,256 |
| Assesses generalization of multi-agent reinforcement learning algorithms to novel social situations | 637 |
| A collection of 3D shapes generated from latent factors to assess unsupervised learning methods | 135 |
| Provides pre-trained and customizable semantic segmentation model in MATLAB | 23 |
| Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 830 |
| A software framework implementing an alignment-free RGBT salient object detection algorithm using a semantics-guided asymmetric correlation network | 10 |
| A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks. | 602 |
| An implementation of reinforcement learning for visual relationship and attribute detection using PyTorch. | 63 |
| A framework for training semi-supervised machine learning models using various techniques | 502 |
| Analyzes 3D cell shape features using deep learning for cancer research | 21 |
| Provides pre-trained deep learning models for object detection in point clouds using complex YOLOv4 architecture | 22 |
| A collection of tutorials and resources on implementing deep learning models using Python libraries such as Keras and Lasagne. | 426 |
| An experiment with various deep learning libraries and frameworks on images and time series data | 162 |