Stars
Implementation of CFA from paper : Solving the class imbalance problem using a counterfactual method for data augmentation
A Conversational Speech Generation Model
The Mulan Framework with Multi-Label Resampling Algorithms
A live viewer for reMarkable written in PyQt5
A beautiful, simple, clean, and responsive Jekyll theme for academics
The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
A Parallel Graphlet Decomposition Library for Large Graphs
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
Adapted Triplet loss based metric learning to learn a metric for multilabel points, such that samples with maximum overlap in label sets are close.
Python implementation of HOMER, Parabel and CraftML algorithms for XML. Also includes EDA for XML datasets.
A curated list of projects related to the reMarkable tablet
Making Heads or Tails Towards Semantically Consistent Visual Counterfactuals
Fast implementation of the Neighborhood Component Analysis algorithm
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of …
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best seq…
A chameleon clustering algorithm implementation in PYTHON3.
Four methods to implementing NCA which is often used for metric learning and dimension reduction.
Code for Probabilistic Neighbourhood Component Analysis
Pixel-perfect Anime Matrix GIFs created using Inkscape. These animations have been tested with both Windows and Linux (specifically, Kubuntu 20.04) on ROG Zephyrus G14 (2021).
Lightweight Armoury Crate alternative for Asus laptops and ROG Ally. Control tool for ROG Zephyrus G14, G15, G16, M16, Flow X13, Flow X16, TUF, Strix, Scar and other models
A python implementation of C4.5 algorithm by R. Quinlan
❗ This is a read-only mirror of the CRAN R package repository. spatial.tools — R Functions for Working with Spatial Data
One-class classification in the absence of test data.
❗ This is a read-only mirror of the CRAN R package repository. superMDS — Implements the supervised multidimensional scaling (superMDS) proposal of Witten and Tibshirani (2011)
A parser for Google Scholar, written in Python