Deep learning topic
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
BraTS2018-tumor-segmentation
We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR im...
mvae
Mixed-curvature Variational Autoencoders (ICLR 2020)
decentralized-rl
Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)
dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
gps
Guided Policy Search
MIT-6.S094
MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions
dynet-att
An attentional NMT model in Dynet
NYU-DLSP21
NYU Deep Learning Spring 2021
pytorch-CortexNet
PyTorch implementation of the CortexNet predictive model
Deep-Exemplar-based-Video-Colorization
The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".