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Saarland University
- Saarbrรผcken, Germany
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Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
This repository categorizes the papers about diffusion models applied in computer vision according to their target task. The classifcation is based on our survey: https://arxiv.org/abs/2209.04747v1
๐ธ Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
Drop in replacement for ueberzug written in C++
Very resourcefriendly and feature-rich replacement for i3status, written in pure Rust
Convert Machine Learning Code Between Frameworks
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
a Docker + Kubernetes network trouble-shooting swiss-army container
Classical equations and diagrams in machine learning
Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
๐ A curated list of papers for Software Engineers
From the Transistor to the Web Browser, a rough outline for a 12 week course
A challenge to explore adversarial robustness of neural networks on CIFAR10.
๐ A compiled checklist of 300+ tips for protecting digital security and privacy in 2024
"Probabilistic Machine Learning" - a book series by Kevin Murphy
JAX - A curated list of resources https://github.com/google/jax
Notebooks for "Probabilistic Machine Learning" book
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
KTH Algorithm Competition Template Library (... eller KTHs AC-tillverkande lapp)
My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition
Latex code for making neural networks diagrams