Data and code related to the paper "ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa..." Jie Tan, et al · mSystems · 2016
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Updated
May 26, 2016 - Python
Data and code related to the paper "ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa..." Jie Tan, et al · mSystems · 2016
TensorFlow implementation of Supervised Representation Learning: Transfer Learning with Deep Autoencoders
Contains implementations of various deep RL algorithms and papers including action conditional video prediction | Python | Tensorflow | Open AI gym
Educational research project
A simple Recommender system that predicts the ratings of the movies that a user haven't watched yet,by knowing the ratings given by him to other movies(a brief implementation of Stacked Auto Encoders-SAE)
Tensorflow implementation of "Transforming Autoencoders" (Proposed by G.E.Hinton, et al.)
Codes and Templates from the SuperDataScience Course
[ICMLA 2016]: Code for the paper "Denoising high resolution images using deep learning approach"
An attempt to improve pix2code through pretrained autoencoders
Additional resources for an overview on autoencoders
Auto Encoders in PyTorch
Experiment for detecting Anomaly detection using Autoencoders
An autoencoder for deep independence learning and distribution tying.
Transforming Autoencoder (Hinton et al.) implementation in TensorFlow. A way to get hands dirty with Hinton's capsules.
Architecture search using unsupervised learning with symmetric auto-encoders and QLearning in PyTorch
Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means technique
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