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Bernhard J. Conzelmann's Projects

pylode icon pylode

An OWL ontology documentation tool using Python and templating, based on LODE

pymc3 icon pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

pypeln icon pypeln

Concurrent data pipelines in Python >>>

pyprobml icon pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

pystardog icon pystardog

Python bindings for the Stardog Knowledge Graph platform

pytextrank icon pytextrank

Python implementation of TextRank for phrase extraction and summarization of text documents

python-causality-handbook icon python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

rdfstartools icon rdfstartools

A collection of tools and Java libraries to process RDF* data and SPARQL* queries.

recourse icon recourse

Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831

rubrix icon rubrix

Tool for tracking and evolving data for AI projects

saliency icon saliency

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

snorkel icon snorkel

A system for quickly generating training data with weak supervision

sonnet icon sonnet

TensorFlow-based neural network library

streisand icon streisand

Streisand sets up a new server running your choice of WireGuard, OpenConnect, OpenSSH, OpenVPN, Shadowsocks, sslh, Stunnel, or a Tor bridge. It also generates custom instructions for all of these services. At the end of the run you are given an HTML file with instructions that can be shared with friends, family members, and fellow activists.

template icon template

This is the repository for the distill web framework

tf-explain icon tf-explain

Interpretability Methods for tf.keras models with Tensorflow 2.0

tfcausalimpact icon tfcausalimpact

Google's Causal Impact Algorithm Implemented on Top of TensorFlow Probability

thinkbayes2 icon thinkbayes2

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

tokenizers icon tokenizers

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

tranad icon tranad

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

transformer_time_series icon transformer_time_series

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

transformers icon transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

treex icon treex

A Pytree Module system for Deep Learning in JAX

tsgan icon tsgan

Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))

turing.jl icon turing.jl

Bayesian inference with probabilistic programming.

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