Research Framework
Showing 9 of 9 projects
A research framework for fast prototyping of reinforcement learning algorithms, designed for easy experimentation and reproducibility.
A PyTorch-based open-source framework for deep learning in healthcare imaging, providing domain-specific tools and workflows.
A fast, flexible C++ standalone library for machine learning with high-performance defaults and total internal modifiability.
A fast, flexible C++ standalone library for machine learning with high-performance defaults and total internal modifiability.
A research framework for reinforcement learning providing modular building blocks and reference agent implementations.
A PyTorch-based framework for visual object tracking and video object segmentation, featuring implementations of state-of-the-art trackers like TaMOs, RTS, and DiMP.
A PyTorch framework for deep learning research and development, focusing on reproducibility and rapid experimentation.
An open-source framework for machine learning and other computations on decentralized data.
A modular, high-throughput PyTorch framework for deep reinforcement learning research, supporting policy gradient, deep Q-learning, and Q-function policy gradient algorithms.
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