SegNext Implementation in PyTorch

X. Wang, Y. Zhong, L. Zhang, and Y. Xu, “Spatial Group Sparsity Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 11, pp.6287-6304, 2017.

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

Making movies recommendation using a Collaborative Filtering Algorithm on the famous MovieLens dataset.

A blind source separation package using non-negative matrix factorization and non-negative ICA

distributed nonnegative matrix factorization methods

Echo aware source separation

Transform Learning for NMF

PyTorch implementations of the beta divergence loss.

Clustering and resource allocation using Deterministic Annealing Approach and Orthogonal Non-negative Matrix Factorization O-(NMF)

A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering

New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB

Audio-based perception for autonomous cars is very important for discerning and comprehending the environment, as it can complement existing vision-based perception and pave the way for multimodal operation. However, these sensors have not yet been fully established in modern autonomous vehicles, robbing the system of context when needing to make important driving decisions. Our project seeks to take steps towards tackling this by applying machine learning techniques to help separate, classify and localise sounds of objects in a car’s vicinity. With these two capabilities, a car is more well-informed of its surroundings and can act accordingly (such as responding and making way for police cars, ambulances and fire trucks).

CSBB - Computational Suite For Bioinformaticians and Biologists

Computational Intelligence Lab project at ETH Zurich.

:blush: Extract News of main streams of China.信息源主题提取

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Automatic classification of tickets / complaints in the financial / banking sector.

The code for prototype selection and instance ranking using matrix decomposition and subspace learning

DecoFlex deconvolution method for Omic data implemented as DecoFlexR

Investigating the impact of Twitter Bots on the 2020 U.S. Presidential Election's Twitter Discourse

Personal GitHub to host and shares my academic mini-projects related to my master degree.

Feature Attribution methods for neurons and Evolution experiments

Convert multivariate time series into evolutionary games; fit replicator dynamics and test for ESS (ts2eg).

This is a machine learning project that aims to recommend songs to users based on their listening history and rating. Non-negative Matrix Factorization (NMF) is used for song recommendation.

AI - automatic assignment of tags to stackoverflow threads

Bachelor Thesis: Classsification of Advertisements by means of Supervised Learning Methods

NMF Decomposition of two iconic rock songs introductions.

Summarizing amazon fine food reviews and finding relevant topics through NLP based models

A comparison of LDA and NMF on ABC new headlines dataset