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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

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.

dplc

Deep generative models for distribution-preserving lossy compression

ese-545-projects-18fall

Data Mining: Learning from Large Dataset

exp3

Python code for the post "Adversarial Bandits and the Exp3 Algorithm"

generative-models

Comparison of Generative Models in Tensorflow

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hermes

Recommender System Framework

improved_wgan_training

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

irgan

IRGAN SIGIR paper experimental code

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.

machinelearning

ML.NET is an open source and cross-platform machine learning framework for .NET.

models

Models and examples built with TensorFlow

nbgrader

A system for assigning and grading notebooks

ncaa-basketball-prediction

Final Project of CIS-545

pytorch-beginner

pytorch tutorial for beginners

recommendation-system-based-on-deep-generative-model

relativisticgan

Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"

sklearn-onnx

Convert scikit-learn models and pipelines to ONNX

swae

Implementation of the Sliced Wasserstein Autoencoders

tensorflow-deeplearning-recitation

Jupyter Notebook for a "Deep Learning with TensorFlow" recitation