Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Image-to-Image Translation in PyTorch

A repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".

A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks

A list of all named GANs!

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Improved Deep Metric Learning with Multi-class N-pair Loss Objective

EANet: Enhancing Alignment for Cross-Domain Person Re-identification

《Pytorch模型训练实用教程》中配套代码

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Implementing Siamese Network using Tensorflow with MNIST

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

NetVLAD: CNN architecture for weakly supervised place recognition

Recognize images using Spatial Pyramid Matching & Earth Mover's Distance

Professor X Toolkit (previously known as the Princeton Vision and Robotics Toolkit)

Deep neural network framework for multi-label text classification

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

SceneLib2 is an open-source C++ library for SLAM originally designed and implemented by Professor Andrew Davison at Imperial College London.

A technical report on convolution arithmetic in the context of deep learning

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

Caffe: a fast open framework for deep learning.

Source code for "Understanding Deep Image Representations by Inverting Them", CVPR 2015

MatConvNet: CNNs for MATLAB

MatConvNet fork to add holes functionality