liquidmotion's repositories
caffe2_bhtsne
This is a demo project that shows how you can utilize Caffe2's modular design and build a library on top of it.
caffe2_cpp_tutorial
C++ transcripts of the Caffe2 Python tutorials and other C++ example code
Caffe2_Demo
Caffe2 C++/Python tutorial with full demo
CageDeformerMaya
Cage Deformer Plugins for Maya
cores
Teensy Core Libraries for Arduino
cpp_template_cgcp
A C++ Template-project for computer perception and computer graphics
Delving-deep-into-GANs
A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
ios-demo-app
PyTorch iOS examples
Keypad
A version of the keypad library found in Wiring. This is just a copy made compatible with the Arduino IDE library manager.
libigl-example-project
A blank project example showing how to use libigl and cmake.
Maya-Cpp-Wizards
A new Maya C++ Wizards
maya-math-nodes
Collection of math nodes for Autodesk Maya
maya-plugin-frustum-selection
Maya custom cmd used to get objects inner viewport.
maya_hot_reload_example_public
Runtime Compiled C++ in Maya
metal-cpp-cmake
Metal graphic api ported to C++ with CMake build system
pimoroni-pico
Libraries and examples to support Pimoroni Pico add-ons in C++ and MicroPython.
pixel_character_generator
Generating retro pixel game characters with Generative Adversarial Networks. Dataset included.
pytorch-cpp
C++ Implementation of PyTorch Tutorials for Everyone
pytorch-cpp-tutorial
Example code to create and train a Pytorch model using the new C++ frontend.
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
stepper_RP2040
A Library to drive stepper motors using the Raspberry Pi Pico (RP2040)
teensy-template
Teensy 3.X Project Template
tensorflow2-generative-models
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
tutorials
Caffe2 Tutorials
USD
Universal Scene Description