furmanlukasz Goto Github PK

text2pixelart

tf-gnn-samples

TensorFlow implementations of Graph Neural Networks

the-algorithm

Source code for Twitter's Recommendation Algorithm

the-five-factor-personality-test

Unsupervised learning coupled with applied factor analysis to the five-factor model (FFM), a taxonomy for personality traits used to describe the human personality and psyche, via descriptors of common language and not on neuropsychological experiments. Used kmeans clustering and feature scaling (min-max normalization).

thebookofshaders

Step-by-step guide through the abstract and complex universe of Fragment Shaders.

thgnn

Source code for CIKM 2021 paper “Topic-aware Heterogeneous Graph Neural Network for Link Prediction”

tigramite

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

time2vec-pytorch

Reproducing the paper: "Time2Vec: Learning a Vector Representation of Time" - https://arxiv.org/pdf/1907.05321.pdf

tods

TODS: An Automated Time-series Outlier Detection System

torch-quiver

PyTorch Library for Fast and Easy Distributed Graph Learning

torch-text-similarity

Implementations of models and metrics for semantic text similarity. Includes fine-tuning and prediction of models

torcheeg

TorchEEG is a library built on PyTorch for EEG signal analysis.

torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

touchdesigner_yolo_v3-readme.md

touchdesigner_yolov3

toy-ml-pipeline

Toy example of an applied ML pipeline for me to experiment with MLOps tools.

tphate

tphate_analysis_capsule

T-PHATE manifold learning of brain state dynamics

trace

A document-based SwiftUI application for viewing and editing EEG data, aimed at making software for viewing brain imaging data more accessible.

track-anything

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything and XMem.

transformer-network-with-a-three-tower-structure

travelling-waves-eeg-2.0

This code analyzes traveling waves in EEG signals. It can be apply to any dataset, but it is based on the data available here: https://osf.io/pn784/. For details, please refer to this paper: "Distinct roles of forward and backward alpha-band waves in spatial visual attention" - https://www.biorxiv.org/content/10.1101/2022.08.18.504422v1.abstract

tudataset

umappp

UMAP C++ implementation

understanding-umap

Understanding the theory behind UMAP

unicornandroid-neurofeedbackapp

unicornandroidapi

Repository for the development of a Unicorn Android interface

user2code2vec

🤓 user2code2vec: Embeddings for Profiling Students Based on Distributional Representations of Source Code. Full Paper presented at Learning Analytics & Knowledge 2019 Conference in AZ, USA

utm

Virtual machines for iOS and macOS

vaex

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀