Research Framework
Showing 21 of 21 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.
A Pythonic deep learning framework built on NumPy with optional CUDA acceleration.
A modular deep reinforcement learning framework in PyTorch for research and application, featuring ready-to-use algorithms and reproducible experiments.
A computational framework for deep reinforcement learning experiments in traffic microsimulation and control.
A co-simulation framework for prototyping and evaluating cooperative driving automation applications using CARLA and SUMO.
A scalable, event-driven backtesting library for reinforcement learning in algorithmic trading, built on Backtrader with OpenAI Gym API.
A PyTorch framework for training neural learning-to-rank models with flexible loss functions and scoring architectures.
A deep reinforcement learning framework for crowd-aware robot navigation using attention mechanisms to model human-robot and human-human interactions.
A hardware-accelerated Python library for running Quality-Diversity and neuroevolution algorithms in minutes instead of days.
An open-source research framework for distributed temporal graph analytics built on Apache Flink.
Deep reinforcement learning framework for financial trading using price trailing, implemented with Keras-RL for Forex markets.
A JAX-based research framework for differentiable and parallelizable acoustic simulations, running on CPU, GPU, and TPU.
A JAX-based framework for building differentiable numerical simulators with arbitrary discretizations for physical systems.
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