qingshan412 Goto Github PK

ais

Annealed Importance Sampling (AIS) for generative models.

ais-gan

arcface-pytorch

bnt

Bayes Net Toolbox for Matlab

booleannet

Boolean Network Modeling

clusteringtry

compression

dcgan-tensorflow

NoiseMapOnDCGAN

dcgan_code

Deep Convolutional Generative Adversarial Networks

eval_gen

Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"

feedforwardfixed

Feed forward neural network implemented using fixed-point number

fpga-cnn

FPGA implementation of Cellular Neural Network (CNN)

fpga_neural-network

The objective is to implement a Neural Network in VHDL code. It is aiming the Cyclone II FPGA Starter Development Kit hardware, but the Neural Network part is meant to be generic, thus it can be used along with different hardware setups.

fpga_neural_network_acceleration

This system accelerates a neural network made to recognize handwritten digits from an original time per sample of 200ms by 300x to a time of 0.66ms per sample.

handwriting-recognition-using-neural-networks-on-fpga-final-year-project

heartseg

code of DenseVoxNet and 3D-DSN

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

insightface_pytorch

Pytorch0.4.1 codes for InsightFace

itchat

A complete and graceful API for Wechat. 微信个人号接口、微信机器人及命令行微信，三十行即可自定义个人号机器人。

lmblur_test

Linear Motion Blurring Test

lsgan

mixtureofexperts

Master Thesis. Code written in python. (Keras with Tensorflow backend)

nddiss

LaTeX style for Notre Dame Dissertations

posix-gan

For paper in ECCV workshop

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

segan

SegAN: Semantic Segmentation with Adversarial Learning

simple-bag-of-features

Simple bag of features implementation, using densely extracted image patches and spherical k-means.

srez

Image super-resolution through deep learning