appliedAI Institute gGmbH

beyond-jupyter

Software design principles for machine learning applications

pyDVL

pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation

lakefs-spec

An fsspec implementation for the lakeFS project

continuiti

Learning function operators with neural networks.

nnbench

A small framework for benchmarking machine learning models.

USFlows

Normalizing flows for neuro-symbolic AI

tfl-training-rl

continuity

continuity → continuiti

tfl-training-machine-learning-control

Repository for the main part of the Machine Learning Control Training

tfl-training-practical-anomaly-detection

Repository of the Tranferlab Practical Anomaly Detection workshop

ProtoTree

Fork of ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

tfl-pydata2024-pydvl

The pyDVL slides for pyData Berlin 2024

ai-kickstart-mlops

re-classwise-shapley

Code for the reproduction of Class-wise Shapley paper from Schoch, Xu, Ji [2022].

tianshou-fork

An elegant PyTorch deep reinforcement learning library.

gcp-mlflow-cloud-run

Example code for the tutorial on deploying serverless MLflow tracking in Google Cloud Run

mlops-hands-on

tfl-training-probabilistic-model-checking

TfL course on probabilistic model checking using storm

tfl-training-sbi

Repository of the appliedAI Institute TransferLab training "Simulation-Based Inference"

PicoGK

PicoGK is a compact and robust geometry kernel for Computational Engineering

SkexGen

[ICML 2022] Official PyTorch Implementation of "SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks".

anomalib

A fork of the anomalib library for research purposes

CAPRI-Net

Code for CAPRI-Net

Gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

mlstacks

A series of Terraform based recipes to provision popular MLOps stacks on the cloud.

nf4ad

Normalizing flows for anomaly detection

pydata-hn

rliable

[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

shap-e

Generate 3D objects conditioned on text or images

tentacles