soinlovelin,github

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

lapgan

(Pytorch)Implementation of LAPGAN. (Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks)

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

lsm

Code for Learnt Stereo Machines based on the NIPS 2017 paper

marrnet

MarrNet: 3D Shape Reconstruction via 2.5D Sketches

mc-gan

Multi-Content GAN for Few-Shot Font Style Transfer at CVPR 2018

mesh_reconstruction

Code of single-image 3D reconstruction "Neural 3D Mesh Renderer" by H. Kato, Y. Ushiku, and T. Harada.

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch and CoreML.

munit

Multimodal Unsupervised Image-to-Image Translation

mvcnn_pytorch

MVCNN on PyTorch

neural_renderer

Code for the paper "Neural 3D Mesh Renderer" by H. Kato, Y. Ushiku, and T. Harada.

niftynet

An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

o-cnn

O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

objectnet3d_toolbox

Toolbox for ObjectNet3D

od-annotation

目标检测数据集标注工具

ogn

Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs

openpoints

OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)