Showing 1-20 of 38 projects
Microsoft's research repo for large-scale self-supervised pre-training across tasks, languages, and modalities
Open-source speech toolkit with state-of-the-art ASR, TTS, translation, and audio processing capabilities.
PyTorch code and models for the DINOv2 self-supervised learning method, a useful tool for AI and ML developers.
A PyTorch-based reference implementation and models for the DINOv3 self-supervised vision transformer.
PyTorch implementation of the Masked Autoencoder (MAE) model for self-supervised learning from Facebook Research.
A Python library for upsampling images using a self-supervised generative model approach.
PyTorch code for training Vision Transformers using the Self-Supervised DINO learning method.
A curated list of awesome self-supervised learning methods for computer vision, NLP, robotics, and more.
A state-of-the-art deep learning library for time series and sequence modeling in PyTorch/fastai.
PyTorch implementation of the MoCo self-supervised learning framework for computer vision tasks.
This repository provides a PyTorch implementation for monocular depth estimation from a single image.
A self-supervised learning framework for computer vision tasks with a focus on contrastive learning.
A pre-trained ALBERT model for self-supervised learning of Chinese language representations.
A pre-training toolbox and benchmark for vision AI models, including self-supervised learning and state-of-the-art architectures.
A Python library for self-supervised learning on images, with a focus on computer vision and AI-powered tooling.
PyTorch code and models for V-JEPA self-supervised learning from video.
The I-JEPA codebase provides a self-supervised learning architecture for joint image-text embedding.
PyTorch code and models for VJEPA2 self-supervised learning from video.
A face depixelizer tool based on the PULSE self-supervised photo upsampling model, built with Jupyter Notebook.
A toolkit for self-supervised speech pre-training and representation learning.
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