Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
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Updated
Sep 17, 2023 - Python
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
A PyTorch implementation of center loss on MNIST
An implementation for mnist center loss training and visualization
Asynchronous TON Center client SDK (V2, V3) with subscription services, transaction flows, parallel processing, and debug tools.
repository to hold Ansible workflows for AOS-CX Data Centers
Bot for the Bug Center Discord server!
Python script based on ANTs to locate (center & crop) any region given in the CerebrA atlas, while keeping the MRI in its native space.
A binary population synthesis study to probe the millisecond pulsar interpretation of the Galactic Center gamma-ray excess
Inverse gamma distribution mode.
Uniform distribution median.
Exponential distribution median.
Student's t distribution mode.
Laplace distribution mode.
Exponential distribution mode.
Cauchy distribution median.
Gamma distribution mode.
Kumaraswamy's double bounded distribution median.
Triangular distribution mode.
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