Pinned Repositories
adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
Autoencoders
CDL
Code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD
chaodly.github.io
CIS-520-Homework-18Spring
Machine Learning
CIS-545-Homework-18Spring
Big Data Analytics
CIT-590-Homework-17Fall
Programming Languages and Techniques (Python & Java)
csgm
Code to reproduce results from the paper: "Compressed Sensing using Generative Models".
DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
dcgan_code
Deep Convolutional Generative Adversarial Networks
zn16's Repositories
zn16/adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
zn16/Autoencoders
zn16/CDL
Code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD
zn16/chaodly.github.io
zn16/CIS-520-Homework-18Spring
Machine Learning
zn16/CIS-545-Homework-18Spring
Big Data Analytics
zn16/CIT-590-Homework-17Fall
Programming Languages and Techniques (Python & Java)
zn16/DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
zn16/dcgan_code
Deep Convolutional Generative Adversarial Networks
zn16/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
zn16/dplc
Deep generative models for distribution-preserving lossy compression
zn16/ESE-545-Projects-18Fall
Data Mining: Learning from Large Dataset
zn16/gym
A toolkit for developing and comparing reinforcement learning algorithms.
zn16/improved_wgan_training
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
zn16/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
zn16/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
zn16/models
Models and examples built with TensorFlow
zn16/nbgrader
A system for assigning and grading notebooks
zn16/NCAA-Basketball-Prediction
Final Project of CIS-545
zn16/pytorch-beginner
pytorch tutorial for beginners
zn16/Recommendation-System-based-on-Deep-Generative-Model
zn16/RelativisticGAN
Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"
zn16/sklearn-onnx
Convert scikit-learn models and pipelines to ONNX
zn16/swae
Implementation of the Sliced Wasserstein Autoencoders
zn16/vae
a simple vae and cvae from keras
zn16/vae_cf
Variational autoencoders for collaborative filtering
zn16/variational-autoencoder
Variational Autoencoder / Deep Latent Gaussian Model demo & tutorial
zn16/wae
Wasserstein Auto-Encoders
zn16/wae-wgan
Reimplementation of Wasserstein Auto Encoder (WAE) with Wasserstein GAN based penalty D_Z in Tensorflow
zn16/WassersteinGAN