Open Assessment for Machine Learning and Applications module. This assessment scored 83% and was worth 8 credits of my third year.
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Updated
Mar 14, 2018 - TeX
Open Assessment for Machine Learning and Applications module. This assessment scored 83% and was worth 8 credits of my third year.
Some knowledge about manifolds
Dados do parlamento português
Hydraulic manifold block design addin for SolidWorks.
RESTful Cross-platform Web Service (.NET Core 2.1) that offers Density-Based clustering
This is a repository to investigation how to generate music based in Hyperbolic Embeddings
Manifold learning is an approach to non-linear dimensionality reduction.
Pipeline Consisting of LSTM + Variational and Transformer Based Autoencoders + PCA/UMAP (Parameterized and Non-Parameterized) For Generating Low-Dim Manifold Representation of V1 Neural Activity
tests for https://github.com/manifold-systems/manifold project
Documentation for Cruiser Project. Video: https://youtu.be/8BLD3deT1LY
ETH SLT exercise 1 - implement locally linear embedding (LLE)
Coursework for [COMS 4995] Geometric Data Analysis at Columbia University
Fast Clustering By Density Peaks (Rodriguez & Laio 2014). .NET Standard library
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