Pinned Repositories
3dgan-chainer
:package: A Chainer implementation of 3D Generative Adversarial Network.
Adversarial_Learning_on_PointClouds
AdvSemiSeg
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
aom
Personal fork of https://aomedia.googlesource.com/aom/
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
caffe
Caffe: a fast open framework for deep learning.
deep-belief-network
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
incremental_learning
HMM based incremental learning
KCNet
Code for "Mining Point Cloud Local Structures by Kernel Correlation and Graph Max Pooling", CVPR, 2018.
PTC_VAE
Variational autoencoder for PointCloud
YiruS's Repositories
YiruS/KCNet
Code for "Mining Point Cloud Local Structures by Kernel Correlation and Graph Max Pooling", CVPR, 2018.
YiruS/incremental_learning
HMM based incremental learning
YiruS/PTC_VAE
Variational autoencoder for PointCloud
YiruS/3dgan-chainer
:package: A Chainer implementation of 3D Generative Adversarial Network.
YiruS/Adversarial_Learning_on_PointClouds
YiruS/AdvSemiSeg
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
YiruS/aom
Personal fork of https://aomedia.googlesource.com/aom/
YiruS/awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
YiruS/caffe
Caffe: a fast open framework for deep learning.
YiruS/deep-belief-network
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
YiruS/Deep-Learning-TensorFlow
Ready to use implementations of various Deep Learning algorithms using TensorFlow.
YiruS/DiscriminativeActiveLearning
Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:
YiruS/Dynamic-Tensorflow-Tutorial
Tensorflow tutorial of building different dynamic recurrent neural network
YiruS/food2vec
Live recipe recommendation demo: https://altosaar.github.io/food2vec/ Pretty plots: https://jaan.io/food2vec-augmented-cooking-machine-intelligence/
YiruS/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
YiruS/human_avatar_demo
YiruS/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
YiruS/mixup
Implementation of the mixup training method
YiruS/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
YiruS/pointnet_adversarial
YiruS/pytorch-classification
Classification with PyTorch.
YiruS/restricted-boltzmann-machines
Restricted Boltzmann Machines in Python.
YiruS/shape2prog
Learning to Infer and Execute 3D Shape Programs (ICLR 2019)
YiruS/SNNs
Tutorials and implementations for "Self-normalizing networks"
YiruS/SNNs-Self-Normalizing-Neural-Networks-Caffe-Reimplementation
Caffe re-implementation of SNNs.
YiruS/TLSegNet
YiruS/visdom-tutorial
A simple tutorial to use Visdom to plot your PyTorch training graphs
YiruS/YiruS.github.io
personal website