pycaffe version of RSA 'Recurrent Scale Approximation for Object Detection in CNN'
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Updated
Dec 5, 2017 - Python
pycaffe version of RSA 'Recurrent Scale Approximation for Object Detection in CNN'
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation (MICCAI 2019)
Quantum Classical Recurrent for Music Generation
Deep Learning (PyTorch) Models Deployment using SQL databases
Recurrent autoencoder with sequence-aware encoding - recurrent autoencoder, which trains faster.
This repository provides the code of a binary classifier that is well documented, tested and was part of the Kaggle: American Express - Default Prediction challenge.
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Time Series Feature Extraction using Deep Learning
📖These are the concept drift datasets we made, and we open-source the data and corresponding interfaces. Welcome to use them for free if there is a need.
A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles in CARLA to navigate scenarios with stationary obstacles.
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