Landcover classification using the fusion of HSI and LiDAR data.

An intuitive library to add plotting functionality to scikit-learn objects.

A simple keras port of omoindrot's tensorflow-triplet-loss repository.

This repo contains auto encoders and decoders using keras and tensor flow. It shows the exact encoding and decoding with the code part.

Removes gaussian noise from colored images using an autoencoder.

Classifying audio using Wavelet transform and deep learning

LiDAR classification using neighbourhood region of NxN surrounding a pixel.

Music genre classification using an ensemble of different features

SincNet is a neural architecture for efficiently processing raw audio samples.

Danfeng Hong, JIngliang Hu, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu. Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model…

A Brief Tutorial on LiDAR data visualisation and classification

The goal of this project is to use Julia to load data into an SQLite database, create a dataframe, and run different queries.

A collection of datasets for the purpose of emotion recognition/detection in speech.

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

Classify bird's sound using siamese networks and few-shot learning.

Demonstration of a few useful segmentation algorithms.

Implementation of gossip protocols for information dissemination in a network with different kinds of topologies.

Implementation of Bitcoin protocol to simulate bitcoin mining, wallet, and transactions.

A small database to test different machine learning tasks. It contains simple shapes of different colors.

Demonstration of sift algorithm to track objects and observing the effect of each parameter on performance.

This program demonstrates (i) the speedup obtained by using FFTs in numerical convolution. The two sequences x and y must contain at least 1000 elements each. The convolution code is written on ow…

Load the hendrix_final.png image and extract the R, G and B channels. Convert each channel image to double precision. Then execute the SVD separately on the R, G and B channels of the image. Plot (…

Classify music in two categories progressive rock and non-progressive rock using mfcc features, MLP, and CNN.

Visualize data on TensorBoard.

Classify bird species based on their songs using SIamese Networks and 1D dilated convolutions.

🎤 quick library to extract pause lengths from audio files.

A Wavenet Primer. From audio preparation to audio generation.