Showing 61-80 of 100 projects
A toolbox of models, callbacks, and datasets for AI/ML researchers using PyTorch.
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.
Open-source tools for computational pathology and digital pathology research using deep learning and weakly-supervised learning.
A library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, for supervised speaker diarization.
Interpretable ML package for concise, transparent, and accurate predictive modeling.
A library of self-supervised methods for visual representation learning powered by PyTorch Lightning.
A Vision-and-Language Transformer model for multimodal tasks without the need for convolution or region supervision.
A self-supervised learning framework for learning general human representations from unlabeled images.
An open-source tool for scaling, assessing, and maintaining natural language data for AI/ML models.
This TensorFlow code implements a curiosity-driven exploration algorithm for deep reinforcement learning.
Unsupervised image classification library using contrastive learning and SCAN algorithm.
A library for self-supervised learning on graphs, providing contrastive, generative, and predictive pretext tasks.
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
Personae is a repo for implementing and experimenting with Deep Reinforcement Learning and Supervised Learning for Quantitative Trading.
A PyTorch implementation of a BERT-style pretraining method for convolutional networks, enabling more efficient self-supervised learning.
A PyTorch-based library for semi-supervised learning in computer vision and deep 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.
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