Showing 1-15 of 15 projects
A comprehensive repository covering papers, codes, datasets, tutorials, and applications for transfer learning, domain adaptation, and more.
A modular deep learning framework for multimodal AI research and applications from Facebook AI Research (FAIR).
OmniGen is a unified image generation library that supports diffusion models, multi-modal and multi-task learning.
A multi-task multi-sensor fusion library for bird's-eye view perception in 3D computer vision applications.
A MATLAB library for joint face detection and alignment using multi-task cascaded convolutional neural networks.
LibMTL is a PyTorch library for building multi-task learning models for deep learning applications.
A collection of robotics environments for benchmarking multi-task and meta reinforcement learning.
A PyTorch library for training state-of-the-art multimodal multi-task models at scale.
jiant is an NLP toolkit that provides pre-trained BERT models and tools for multi-task learning and transfer learning.
MT3 is a Python library for multi-task multitrack music transcription, a powerful tool for audio analysis.
Prismer: A Vision-Language Model with Multi-Task Experts for image-captioning and vision-language-model applications.
A minimal multi-tasking OS kernel for ARM, built from scratch to explore low-level system programming.
HMTL is a state-of-the-art neural network model for several NLP tasks based on PyTorch and AllenNLP.
A bio-computing platform for large-scale representation learning and multi-task deep learning on molecular and biological data.
Open-source code for a NeurIPS 2018 paper on multi-task learning as multi-objective optimization
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