Johan Hammarstedt (jhammarstedt)

jhammarstedt

Geek Repo

Company:@arkkapital

Location:Stockholm, Sweden

Home Page:https://www.gilion.com/insights

Github PK Tool:Github PK Tool

Johan Hammarstedt's repositories

Spotify-Live-Lyrics

Real Time Lyrics when playing music from Spotify Account

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MLOps-Kubeflow_in_GCP

Small Kubeflow pipeline in GCP with CI&CD components

PacmanAI

Pacman Capture the Flag AI. Deep CNN RL and heuristic team implemented

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VAE-with-VAMP-Prior

MLA Group Project: VAE with a VampPrior

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Benchmarking-DevOps

Tutorial on how to set up a Github Action to create continuous benchmarking with pytest.

abhisheknaiidu

👀

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airbyte

Airbyte is an open-source EL(T) platform that helps you replicate your data in your warehouses, lakes and databases.

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Spotify-Clone

A spotify-Clone built with Next.JS & Tailwind

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CELL

Cross Entropy Low-rank Logits for graph generation.

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coding-interview-university

A complete computer science study plan to become a software engineer.

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devops-course

Repository of the DevOps course at KTH Royal Institute of Technology DD2482

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EDAF05-labs-public

Laborations for EDAF05 Algorithms, Data Structures and Complexity, held at LTH.

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google-research

Google Research

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jhammarstedt.github.io

Testing to create and host a portfolio/resume on github pages

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katacoda-scenarios

Katacoda Scenarios

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LSTM_stock_price_pred

Stock price prediction project with LSTM

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Normalization-fixaction

This project is focusing on the effect of normalization, including standardizing, scaling and more, on the training and inference of machine learning models. A lot of focus in machine learning is on models and less so on data and how to treat it. In this project we will focus on the impact of data on model training.

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pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

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SLN-on-Sound

Re-implementation of the Noise Against Noise: Stochastic Label Noise helps combat inherent label noise

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Spotify-Readme

A dynamic, customizable, and real-time Spotify now-playing widget for your README files.

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training-data-analyst

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

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