Showing 7 of 7 projects
A Python library for self-supervised learning on images, providing a modular PyTorch-like framework with support for modern SSL models.
An unsupervised learning framework for depth and ego-motion estimation from monocular videos using TensorFlow.
State-of-the-art pre-trained transformer language models for protein sequences, enabling tasks like structure prediction and function annotation.
A PyTorch implementation of self-supervised monocular depth estimation using 3D packing for high-resolution, real-time depth prediction.
A PyTorch-based framework for training and validating models that produce high-quality embeddings for metric learning and retrieval tasks.
A large-scale image dataset for self-supervised pretraining without humans, designed to reduce privacy concerns.
A self-supervised deep learning model for extrinsic calibration between LiDAR and camera sensors using 3D spatial transformer networks.
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