shuai.nie's repositories
aeneas
aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
awesome-adversarial-machine-learning
A curated list of awesome adversarial machine learning resources
awesome-deep-learning-papers
The most cited deep learning papers
awesome-object-proposals
A curated list of object proposals resources for object detection
BigDL
BigDL: Distributed Deep Learning Library for Apache Spark
CarND-Advanced-Lane-Lines
Fourth Project of the Udacity Self-Driving Car Nanodegree Program
chainer-DiscoGAN
A Chainer implementation of DiscoGAN.
ChosunTruck
Euro Truck Simulator 2 autonomous driving solution
crnn.pytorch
Convolutional recurrent network in pytorch
deep-forest
An on going implementation of the gcForest algorithm
Deep-Learning-Experiments
Notes and experiments to understand deep learning concepts
DeepConvSep
Deep Convolutional Neural Networks for Musical Source Separation
deepvoice
Deep Voice: Real-time Neural Text-to-Speech
GAN
Generate images via a Generative Adversarial Network (GAN)
generative-models
Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch.
guetzli
Perceptual JPEG encoder
HAR-stacked-residual-bidir-LSTMs
Human Activity Recognition (HAR) using stacked residual bidirectional-LSTM cells (RNN) with TensorFlow. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).
minpy
NumPy interface with mixed backend execution
nanoflann
nanoflann: a C++ header-only library for Nearest Neighbor (NN) search wih KD-trees
neuralnets
Deep Learning libraries tested on images and time series
RaspberryPi-FaceDetection-MTCNN-Caffe-With-Motion
MTCNN with Motion Detection, on Raspberry Pi with Love
RFNN
Structured Receptive Fields in Convolutional Neural Networks
SignalGraph
Matlab-based deep learning toolkit that supports arbitrary directed acyclic graphs (DAG). Support DNN, LSTM, CNN layers and many signal processing layers. Include recipes/examples of using the tool for various tasks.
SqueezeNet
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
tensorflow
Computation using data flow graphs for scalable machine learning
TensorFlow-NRE
Neural Relation Extraction implemented with LSTM in TensorFlow
tf-rnn-attention
Tensorflow implementation of attention mechanism for text classification tasks.
tf-wgan
Wasserstein DCGAN in Tensorflow/Keras
Unsupervised_Depth_Estimation
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue