Patrick Hiemsch 's starred repositories

ControlNet

Let us control diffusion models!

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netron

Visualizer for neural network, deep learning and machine learning models

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roop

one-click face swap

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tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

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recommenders

Best Practices on Recommendation Systems

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gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

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the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

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micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

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Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

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Dreambooth-Stable-Diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

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RSPapers

A Curated List of Must-read Papers on Recommender System.

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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courses

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

pandarallel

A simple and efficient tool to parallelize Pandas operations on all available CPUs

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diffusion-models-class

Materials for the Hugging Face Diffusion Models Course

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picoGPT

An unnecessarily tiny implementation of GPT-2 in NumPy.

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loss-landscape

Code for visualizing the loss landscape of neural nets

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hlb-CIFAR10

Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

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minDiffusion

Self-contained, minimalistic implementation of diffusion models with Pytorch.

tiny-diffusion

A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.

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modular-diffusion

Python library for designing and training your own Diffusion Models with PyTorch.

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Deep-Eligibility-Traces

Implementation of Eligibility Traces with Neural Networks in PyTorch and Tensorflow 2.0

Data-Pipeline-with-dbt-using-Airflow-on-GCP

This project demonstrates how to build and automate an ETL pipeline using DAGs in Airflow and load the transformed data to Bigquery. There are different tools that have been used in this project such as Astro, DBT, GCP, Airflow, Metabase.

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Youtube-video-data-analytics-using-AWS

This project aims to leverage Amazon Web Services to create trending Youtube videos analytics service. Project contains different data engineering, data analysis and data science parts.

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scoota-app-clip

Master thesis project about fictional App Clip to rent an e-scooter

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Master-Thesis

Master Thesis in Machine Learning

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