Kasper Junge (kasperjunge)

kasperjunge

Geek Repo

Company:SEO.ai

Location:Copenhagen, Denmark

Home Page:blog.kasperjunge.com

Twitter:@JungeKasper

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Kasper Junge's repositories

LLM-Guide

Resources for training, hosting and developing with large language models πŸš€

toucans

Prompt templating and versioning using jinja2 and litellm πŸ”₯

papersome

Reduce cognitive load. Summarize papers!

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convert-danish-bert-to-pytorch

Short tutorial on how to convert BotXo's pre-trained BERT model to PyTorch.

danish-bert-embeddings

Code for making danish word embeddings with BERT!

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papers

A collection of papers I've either read or plan to read πŸ“œ

skolegpt-instruct-dataset

Generation of Danish synthetic instruction dataset for SkoleGPT.

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Deep-Learning-Vinyl-Records

Main project in Deep Learning course at DTU. Objective is to make a convolutional neural network tell a vinyl records genre based on its album cover. So the input is an image of a vinyl record cover and the output is a genre. The data used to train this CNN is gathered using the discogs_scraper scrip written i C# which can be found on my GitHub.

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DSP-ATMega2560

Metal Detector DSP project. Code developed to AD-convert and process signal from a metal detector coil. The code is written for the Arduino ATMega2560 microcontroller board. The Atom package PlatformIO is used as IDE.

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mojolicious

Repo for playing with mojo πŸ”₯

Prompt-Engineering-Guide

:octopus: Guides, papers, lecture, and resources for prompt engineering

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adding-two-integers-with-overkill-neural-network

Training an overkill fully connected neural network to add two integers between 0-10 using PyTorch. Fun, yet stupid, little project πŸ€“

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danish-evals

Code to generate Danish evaluation datasets for Generative Large Language Models

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DiscogsScraper

Application for scraping discogs.com for album release data.

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fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

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hello-world

dopest repository evah!

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the-twitter-algorithm

Source code for Twitter's Recommendation Algorithm

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