Andri's Projects
This code implements catboost algorithm.
This code refers to all experiments in our paper "Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments"
Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments. Proceedings of the 2019 SIAM International Conference on Data Mining.
This is the implementation of Autonomous Deep Learning on python
Modified version of ADL and DEVDAN: Implement multiple node growing scenario and adaptive synapses pruning
This code executes Autonomous Deep Clustering Network (ADCN)
Bayesian neural network using Pyro and PyTorch on MNIST dataset
Bayesian Neural Network For Pytorch
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Deep learning course CE7454, 2018
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
An automated construction of a denoising autoeconder is presented here. It features an open structure both in the generative phase and in the discriminative phase where input features can be automatically added and discarded on the fly and free of the problem- specific threshold.
DEVDAN: Deep Evolving Denoising Autoencoder. Neurocomputing 2019.
This branch presents an evolving model based on a novel evolving intelligent system, namely evolving Type-2 Quantum Fuzzy Neural Network (eT2QFNN), which features an interval type-2 quantum membership function with uncertain jump positions.
CI6226 Assignment
An ongoing list of pandas quirks
Lifelong Learning with Dynamically Expandable Networks
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. The 28th ACM International Conference on Information and Knowledge Management (CIKM).
Weakly Supervised Deep Learning Approach in Streaming Environments. Proceedings of The 2019 IEEE International Conference on Big Data (IEEE Big Data 2019).
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
pytorch tutorial for beginners
A PyTorch implementation of the YOLO v3 object detection algorithm
This workflow aims to make it easy to train and execute Yolo v3 object detection on Windows.