Eric Bach (bachi55)

bachi55

Geek Repo

Company:Elisa Oyj

Location:Helsinki, Finnland

Home Page:https://www.linkedin.com/in/eric-bach-ml/

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Organizations
aalto-ics-kepaco

Eric Bach's repositories

massbank2db

Build a local SQLite Database from Massbank.

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local_pubchem_db

Build a local SQLite database from the PubChem compound database

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rosvm

Retention Order Support Vector Machine (ROSVM)

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cdk

The Chemistry Development Kit

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data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

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ECCB2018_presentation

My presentation of our paper "Liquid-chromatography retention order prediction for metabolite identification" at the ECCB 2018 in Athens.

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GPSig

Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances

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LPMP

Solving LPs with convergent message passing

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lumen

Interactive web application for the exploration, comparision and validation of probability models and its data

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massbank_for_ML

Massbank records prepared for machine learning.

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matchms

Python library for fuzzy comparison of mass spectrum data and other Python objects

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modelbase

A SQL-like interface for python and the web to query probabilistic machine learning models and its data.

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msp2db

Convert MSP files into a database

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nlp-course

Own solutions to exercises for the Udemy course "Machine Learning: Natural Language Processing in Python (V2)".

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opengm

A C++ Library for Discrete Graphical Models

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rcdkTools

Wrapper functions for the rcdk-library.

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RtPredTrainingData

This repository contains training data for retention time prediction for the identification of metabolites from non-targeted LC-MS based metabolomics

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slurm2sql

Dump slurm accounting database to sqlite3 database for easy analysis

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spec2vec_gnps_data_analysis

Analysis and benchmarking of mass spectra similarity measures using gnps data set.

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training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

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transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

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