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Bernhard J. Conzelmann's Projects

knockknock icon knockknock

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

m1n1 icon m1n1

A bootloader and experimentation playground for Apple Silicon

mingpt icon mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

mish icon mish

Mish: A Self Regularized Non-Monotonic Neural Activation Function

missingno icon missingno

Missing data visualization module for Python.

nanogpt icon nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

neural_prophet icon neural_prophet

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch

nextitnet icon nextitnet

PyTorch implementation of NextItNet from "A Simple Convolutional Generative Network for Next Item Recommendation".

normalizing-flows icon normalizing-flows

Implementation of normalizing flows in TensorFlow 2 including a small tutorial.

omega.jl icon omega.jl

Causal, Higher-Order, Probabilistic Programming

optax icon optax

Optax is a gradient processing and optimization library for JAX.

pandas icon pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

paper-qa icon paper-qa

LLM Chain for answering questions from documents with citations

pgmpy icon pgmpy

Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.

pkg icon pkg

Collaboration on description of personal knowledge graphs (PKG)

pml-book icon pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

potree icon potree

WebGL point cloud viewer for large datasets

psl icon psl

The PSL software from the University of Maryland and the University of California Santa Cruz

py-bbn icon py-bbn

Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling

py2neo icon py2neo

Py2neo is a comprehensive toolkit for working with Neo4j from within Python applications or from the command line.

pydantic icon pydantic

Data parsing and validation using Python type hints

pylode icon pylode

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

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