SUN115AM

Pinned Repositories

ASScompression
homework1
00
basics
📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!
Language:Jupyter Notebook00
fall_detection
00
graphics
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
Language:Python0 1 00
Hello_world
testing
00
Magtracking_guopengfei
(Magnet_X, Magnet_Y, Magnet_Z) represent the real position of the magnet, corresponding to (a,b,c) on the XYZ axis. (Pose_X, Pose_Y, Pose_Z) represent the angle vector of the magnetic nail, corresponding to (m,n,p).
0 1 01
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Language:Python0 1 00
topopt
Topology optimization
Language:Jupyter Notebook00
topy
Topology Optimization using Python
Language:Python00
PyQt5
Language:Python1 2 00

SUN115AM's Repositories

SUN115AM/ASScompression
homework1
00
SUN115AM/basics
📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!
Language:Jupyter Notebook00
SUN115AM/fall_detection
00
SUN115AM/graphics
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
Language:Python0 1 00
SUN115AM/Hello_world
testing
00
SUN115AM/Magtracking_guopengfei
(Magnet_X, Magnet_Y, Magnet_Z) represent the real position of the magnet, corresponding to (a,b,c) on the XYZ axis. (Pose_X, Pose_Y, Pose_Z) represent the angle vector of the magnetic nail, corresponding to (m,n,p).
0 1 01
SUN115AM/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Language:Python0 1 00
SUN115AM/topopt
Topology optimization
Language:Jupyter Notebook00
SUN115AM/topy
Topology Optimization using Python
Language:Python00