A library for incremental computations

A game theoretic approach to explain the output of any machine learning model.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

The fundamental package for scientific computing with Python.

A highly efficient implementation of Gaussian Processes in PyTorch

Lint your Python architecture.

Selects tests affected by changed files. Executes the right tests first. Continuous test runner when used with pytest-watch.

Fast and powerful Git hooks manager for any type of projects.

Redis Python client

High-Performance Symbolic Regression in Python and Julia

Static Type Checker for Python

Code accompanying our paper on diversity-based comparison of goal-directed generators

scikit-learn: machine learning in Python

Draft of the lecture held at JKU in the winter term of 2021/22

A Python-embedded modeling language for convex optimization problems.

Extremely fast Query Engine for DataFrames, written in Rust

My dotfiles

Distributed Asynchronous Hyperparameter Optimization in Python

Modern Hopfield Network (MHN) for template relevance prediction

Fastest library to load data from DB to DataFrames in Rust and Python

A time-series database for high-performance real-time analytics packaged as a Postgres extension

High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.

This package contains deep learning models and related scripts for RoseTTAFold

Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.

A lightweight python-only library for reading and writing SMILES strings

Language models for drug discovery using torchrl

Automated Time Series Forecasting

Compilation of literature examples of generative drug design that demonstrate experimental validation