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2021z-datavisualizationtechniques

📊 Data Visualization Techniques course for DS studies in Winter 2020/21

adversarial-explainable-ai

💡 Adversarial attacks on explanations and how to defend them

autogluon

AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

autoplots

Fast and easy echarts with data.table backend for wrangling and a simple API

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

bigbookofr

The biggest collection of R books (and maybe later some other resources too)

cancer-classification-sparse-model-pub

Analyses and scripts used for review of the new integrative analytics method described in: "EBADIMEX: An empirical Bayes approach to detect joint differential expression and methylation and to classify samples", 2018.

cheem

Radial tours of local explanations. Package repository for trees of cheem work and app.

confopt

A Library for Conformal Hyperparameter Tuning

correctr

R package for computing corrected test statistics for comparing machine learning models on correlated samples

custom-code

various useful codes, routines and notes

data-contracts

Food for thoughts around data contracts

dgraph

Discrete factor graphs in R

dtwsat

A Docker image that installs dtwSat R package in Ubuntu

experimental-plumber-example

faucet

Fearless asynchronous Plumber.

fcd

Fréchet ChemNet Distance: A quality measure for generative models for molecules

finrl

FinRL: Financial Reinforcement Learning. 🔥

friendsdontletfriends

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

guacamol

Benchmarks for generative chemistry

ingtech

integrativeanalysispub

Codes for analysis using PINCAGE model and artificial data generation.

ollama

Get up and running with Llama 2 and other large language models locally

pgm_brca

model for analysis of BRCA TCGA dataset using the DFG PGM framework

pgm_generic

Generic codes for building and running our full PGM decribed in "PINCAGE: Probabilistic integration of cancer genomics data for perturbed gene identification and sample classification", Świtnicki et al.

pgm_parametric

parametric implementation of the integrative PGM

pgm_sim

model for analysis of simulated datasets using the DFG PGM framework

quantico

Shiny App for Echarts Viz, ML, Forecasting, Data Wrangling, Feature Engineering, Inference, and Code Generation

relex

RELEX - Reinforcement Learning Experiments. RL experimentation and 'from scratch' implementations repo.

roomsage

Forecasting clicks & conversions from Google AdWords data