madquirk-hash

appjsonify

A handy PDF-to-JSON conversion tool for academic papers implemented in Python.

talks

Presentations other than book club meetings

bookclub

Notes and links from the book club meetings

SLICEmyPDF

This project uses SLICE algorithm to extract information from a text-based PDF page containing financial statements (tabular data). It can also be used to extract regular tables but will contain all text on a page.

GhostNet

GhostNet

progprompt-vh

ProgPrompt for Virtualhome

JARVIS

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

ETDataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

Informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

pliers

Automated feature extraction in Python

LARA

Latent Aspect Rating Analysis

rankeval

Official repository of RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions.

scispacy

A full spaCy pipeline and models for scientific/biomedical documents.

scitldr

demand_forecast

NeuralOperators.jl

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

pytorch-examples

train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc

diffeqpy

Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization

time-series-autoencoder

PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series

py-pde

Python package for solving partial differential equations using finite differences.

personal_data_science_projects

timeseries-clustering-vae

Variational Recurrent Autoencoder for timeseries clustering in pytorch

epftoolbox

An open-access benchmark and toolbox for electricity price forecasting

gpax

Gaussian Processes for Experimental Sciences

PyFR

PyFR

pymor

pyMOR - Model Order Reduction with Python

DeepEcho

Synthetic Data Generation for mixed-type, multivariate time series.

survshap

SurvSHAP(t): Time-dependent explanations of machine learning survival models

pyPESTO

python Parameter EStimation TOolbox

tracking_cpu

A python script for tracking objects in a video using YOLOV5 and Torchvision, but this script is optimized for cpu usage instead of gpu, therefor allowing decent tracking task on weak computers.