Stars
[ICLR'24] Learning to Compose: Improving Object Centric Learning by Injecting Compositionality
[ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
Official Release of NeurIPS 2023 Spotlight paper "Object-Centric Slot Diffusion"
official implementation of the paper: Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers (CVPR 2023)
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.
Synchronized Batch Normalization implementation in PyTorch.
Awesome Incremental Learning
Survey-on-Implicit-Neural-Representation
A curated list of resources on implicit neural representations.
Crawl & visualize ICLR papers and reviews.
Methods and Implements of Deep Clustering
PyTorch deep learning projects made easy.
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
Geometric Computer Vision Library for Spatial AI
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
GANs with spectral normalization and projection discriminator
[arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis
Long Term Global Localization leveraging Linear Geometry (Based on ORB-SLAM)
Sparse-to-Dense Hypercolumn Matching for Long-Term Visual Localization (3DV 2019)