Showing 8 of 8 projects
A Python library for self-supervised learning on images, providing a modular PyTorch-like framework with support for modern SSL models.
A Python library for machine learning on graphs and networks, offering state-of-the-art algorithms for tasks like node classification and link prediction.
A curated list of network embedding techniques, including papers, implementations, and related resources for graph representation learning.
A curated collection of must-read academic papers on knowledge representation learning and knowledge embedding, with an associated open-source toolkit.
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 benchmark suite of protein sequence tasks to evaluate machine learning models for protein design.
A curated list of 257+ research papers on video generation, representation learning, and related topics like reinforcement learning.
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