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deep_steg

deepcca

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.

deephash

An Open-Source Package for Deep Learning to Hash (DeepHash)

deephash-pytorch

Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.

deeplab-v3

Google DeepLab V3 for Image Semantic Segmentation

deeplearning-models

A collection of various deep learning architectures, models, and tips

deepmath

Experiments towards neural network theorem proving

deeptimeseriesmodel

A paper list for Time series modelling, including prediciton and anomaly detection

demo_dhcnn_for_tgrs2021

A novel deep hashing method (DHCNN) for remote sensing image retrieval and classification, which was pulished in IEEE Trans. Geosci. Remote Sens., 2021.

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

deployment-flask

develop-multi-output-regression-models

deviation-network

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

dft-and-idft-from-scratch

A MATLAB implementation of Discrete Fourier Transform and Inverse Didcrete Fourier Transform from scratch

dhta-master

The implementatin of our ECCV 2020 work: Targeted Attack for Deep Hashing based Retrieval.

diabetes-prediction

dinonet

An AI that plays chrome://dino

dml

PyTorch Implementation of "DML: Deep Multi-Representation Learning"

dna-sequencing-classifier

domain-adaptation-toolbox

Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms

drlwithtl

Python code for Deep Reinforcement Learning with Transfer Learning in a Simulated Environment

dsdh_pytorch

Source code for paper "Deep Supervised Discrete Hashing" on NeurIPS-2017

dynamical-systems-with-applications-using-matlab

Source code for 'Dynamical Systems with Applications using MATLAB®, 2ed' by Stephen Lynch http://www.springer.com/book/9783319068190

ebeeb

System to simulate individual interactions and capture ecological and evolutionary dynamics

echo-state-networks

Implementation of Echo State Networks, a special kind of Recurrent Neural Networks

eeg

Pattern recognition and analysis of EEG signals from PTSD patients

eeg-datasets

A list of all public EEG-datasets

eeglab

EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

eesrgan

Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network

eigenvectors-from-eigenvalues

PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.