Showing 21-38 of 38 projects
A video foundation model and dataset for multimodal understanding and video understanding tasks.
A Python library for graph deep learning research, focused on 3D graphs, explainable ML, and self-supervised learning.
A repository of papers on pretraining and self-supervised learning for graph neural networks.
A self-supervised video representation learning model for video understanding tasks.
A library of self-supervised methods for visual representation learning powered by PyTorch Lightning.
A self-supervised learning framework for learning general human representations from unlabeled images.
This TensorFlow code implements a curiosity-driven exploration algorithm for deep reinforcement learning.
A library for self-supervised learning on graphs, providing contrastive, generative, and predictive pretext tasks.
A PyTorch implementation of a BERT-style pretraining method for convolutional networks, enabling more efficient self-supervised learning.
A self-supervision framework for tracking everything, implemented in Python.
A Python library for 3D human avatar reconstruction from videos using self-supervised scene decomposition.
All-in-one training for vision models with pretraining, fine-tuning, and distillation capabilities.
A comprehensive list of contrastive self-supervised learning papers for machine learning researchers.
Efficient computing methods developed by Huawei Noah's Ark Lab for model compression and optimization.
A PyTorch implementation of the SimSiam self-supervised learning algorithm, useful for AI and ML developers.
Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation.
An open-source implementation of the SimMIM framework for self-supervised masked image modeling.
PyTorch implementation of Barlow Twins, a self-supervised learning technique for computer vision tasks.
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