Pinned Repositories
3data
extremely slow elementwise interpretation of a basic feedforward neural network to read the mnist handwritten digit dataset
emoshou.github.io
f360-part-generation
part generation in fusion360
Objectron
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
ondriodOrig
ondroid is an open source humanoid robot
ondroid
Design a full DOF humanoid robot for research use incrementally, halving the cost until the BOM is $1000.
quefrency-rev-4-enhancements
Low Profile Case for Quefrency 60% Versions
simplify
Simplifying algebraic equations
tinyframe
tinyFrame is a modular tooling framing system focused on ease of manufacture, reusability and accuracy.
unrealcv-datagen
UrnealCV-datagen extends the UnrealCV library by adding a quick and easy implementation which links data generated with UnrealCV to a tensor library for training neural networks. This implementation uses PyTorch.
emoshou's Repositories
emoshou/ondroid
Design a full DOF humanoid robot for research use incrementally, halving the cost until the BOM is $1000.
emoshou/tinyframe
tinyFrame is a modular tooling framing system focused on ease of manufacture, reusability and accuracy.
emoshou/3data
extremely slow elementwise interpretation of a basic feedforward neural network to read the mnist handwritten digit dataset
emoshou/emoshou.github.io
emoshou/f360-part-generation
part generation in fusion360
emoshou/Objectron
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
emoshou/ondriodOrig
ondroid is an open source humanoid robot
emoshou/quefrency-rev-4-enhancements
Low Profile Case for Quefrency 60% Versions
emoshou/simplify
Simplifying algebraic equations
emoshou/unrealcv-datagen
UrnealCV-datagen extends the UnrealCV library by adding a quick and easy implementation which links data generated with UnrealCV to a tensor library for training neural networks. This implementation uses PyTorch.