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Bernhard J. Conzelmann's Projects

adabelief-optimizer icon adabelief-optimizer

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

adlfs icon adlfs

fsspec-compatible Azure Datake and Azure Blob Storage access

agd icon agd

Automatic gradient descent

aim icon aim

Aim 💫 — easy-to-use and performant open-source ML experiment tracker.

atsa-labs icon atsa-labs

Labs developed for Applied Fisheries Time-series Analysis course. The link for the text is https://nwfsc-timeseries.github.io/atsa-labs/

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-privacy icon awesome-privacy

A curated list of services and alternatives that respect your privacy because PRIVACY MATTERS.

bayesian_personalized_ranking icon bayesian_personalized_ranking

Implemented PyTorch Matrix Factorization of "BPR: Bayesian Personalized Ranking from Implicit Feedback" with the Netflix Prize Dataset

ber icon ber

Balanced Error Rate for Speaker Diarization

blobcaster icon blobcaster

Blobcaster: Using Azure Blob Storage to Host a Podcast

boss icon boss

Bayesian Optimisation for String Spaces

brouhaha-vad icon brouhaha-vad

Predicts the level of noise and reverberation on your audiofiles

causaldiscoverytoolbox icon causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

causalinference.jl icon causalinference.jl

Causal inference, graphical models and structure learning with the PC algorithm.

causalml icon causalml

Uplift modeling and causal inference with machine learning algorithms

causalml-1 icon causalml-1

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

causalnex icon causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

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