376 Open source projects that are alternatives of or similar to lowshot-shapebias

FSL-Mate: A collection of resources for few-shot learning (FSL).

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Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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Paper list of deep learning on point clouds.

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Pytorch framework for doing deep learning on point clouds.

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Pytorch implementation of Self-Organizing Map(SOM). Use MNIST dataset as a demo.

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

Official Pytorch implementation for 2021 ICCV paper "Learning Motion Priors for 4D Human Body Capture in 3D Scenes" and trained models / data

Projects related to computer vision and image processing.

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[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

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Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

Standard federated learning implementations in FedLab and FL benchmarks.

Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"

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Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

Matching Networks for one-shot learning in tensorflow (NIPS'16)

Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

(CVPR 2021) Few-Shot Classification with Feature Map Reconstruction Networks

Official Python/PyTorch Implementation for "All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range Point Clouds"

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

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