Constantin Weisser (weissercn)

weissercn

Geek Repo

Company:Massachusetts Institute of Technology

Location:Cambridge, MA

Home Page:https://www.linkedin.com/in/constantin-weisser/

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Constantin Weisser's repositories

120-Data-Science-Interview-Questions

Answers to 120 commonly asked data science interview questions.

HEPTools

A collection of tools that are helpful to me during my PhD in Particle Physics at MIT

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learningml

This repository demonstrates how to make a project pip installable, write a Python module in C++ and use scikit-learn, keras and spearmint

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LHCbPVFinding

Track reconstruction for the LHCb experiment at CERN: Finding the primary vertices for particle physics events in the VertexLocator (Velo) detector

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adaptive_binning_chisquared_2sam

This repository contains a 2 sample chi squared test the uses adaptive binning using the approach of Roederer et al. (http://onlinelibrary.wiley.com/doi/10.1002/1097-0320(20010901)45:1%3C47::AID-CYTO1143%3E3.0.CO;2-A/epdf)

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autoencoder_demonstration

Demonstrating the workings of an autoencoder. A dataframe of n independent and m dependent variables is constructed and the autoencoder performs well when the encoding dimension is n or larger.

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BayesNetBucketElim

Solving Bayesian Network Inference with Bucket Elimination

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data_exploration_game

Navigate through a high dimensional data set

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DL_resources

A list of Deep Learning resources

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Eta_to_Ap_Gamma_Search

LHCb search for eta decaying to a photon and a dark photon (A'), which itself decays into two muons

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FunctionScaler

Given a discrete probability density function learn a function that turns samples from the pdf into samples from desired distribution.

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inspect_ai

Inspect: A framework for large language model evaluations

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LHCb_PID_Compression

A benchmark to the challenge of compressing an obscured dataset containing Particle Identification

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minimal_glo

Minimal PyTorch implementation of Generative Latent Optimization from the paper "Optimizing the Latent Space of Generative Networks"

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MinorToFatal

Minor to Fatal: Predicting Injury Severity in Traffic Data - Project for 15.071 at MIT

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MITJuniorLab

Some Jupyter notebook examples for data analysis

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MLTools

This python based project is aimed at building a coherent framework of Machine Learning Tools for Particle and Nuclear Physics. It uses scikit-learn, tensorflow and MOE and depends on hep_ml.

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n-beats

Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

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nltk

NLTK Source

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RandomNumberGenerator_OS_X_app

This is a very easy example of how to create a visual OS X app using python tkinter and py2app.

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SAELens

Training Sparse Autoencoders on Language Models

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spearmint_wrapper

A wrapper around the spearmint gaussian process to optimise hyperparameters for skearn, xgboost and keras

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Supply-Distribution_Chain_Dartboard

Supply/Distribution Chain Planning at Dartboard Corporation : Case study

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UnbiasedML

Investigating how to train a classifier such that no peaking structure is induced in the spectrum of control variables

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weissercn.github.io

Constantin Weisser's website

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