hrwstrauch

hrwstrauch's Stars

• AUTOMATIC1111/stable-diffusion-webui

  Stable Diffusion web UI

  Language:Python141k1.1k7.6k26.6k

• oobabooga/text-generation-webui

  A Gradio web UI for Large Language Models.

  Language:Python39.9k3273.6k5.2k

• Stability-AI/stablediffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Python38.7k4443095k

• tatsu-lab/stanford_alpaca

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  Language:Python29.4k3392684k

• acheong08/ChatGPT

  Reverse engineered ChatGPT API

  Language:Python28k2898054.5k

• sczhou/CodeFormer

  [NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

  Language:Python15.5k2973463.3k

• lmcinnes/umap

  Uniform Manifold Approximation and Projection

  Language:Python7.4k127786803

• timothybrooks/instruct-pix2pix

  Language:Python6.3k70121530

• ipfs/ipfs-desktop

  An unobtrusive and user-friendly desktop application for IPFS on Windows, Mac and Linux.

  Language:JavaScript6k1881.3k862

• minimaxir/textgenrnn

  Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

  Language:Python4.9k136230754

• n00mkrad/text2image-gui

  Somewhat modular text2image GUI, initially just for Stable Diffusion

  Language:C#9352810195

• PyDMD/PyDMD

  Python Dynamic Mode Decomposition

  Language:Python86734122300

• BethanyL/DeepKoopman

  neural networks to learn Koopman eigenfunctions

  Language:Jupyter Notebook367189121

• kpchamp/SindyAutoencoders

  Language:Python330122101

• UW-ACL/SCPToolbox.jl

  Sequential Convex Programming Toolbox for nonconvex trajectory optimization.

  Language:Julia25211955

• snagcliffs/PDE-FIND

  Language:Jupyter Notebook233230119

• SelennLamson/AITextGenerator

  Language:Jupyter Notebook7221024

• DeepLearningForPhysicsResearchBook/deep-learning-physics

  This project contains additional material for the textbook Deep Learning for Physics Research by Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, and Uwe Klemradt.

  Language:Jupyter Notebook573223

• dynamicslab/modified-SINDy

  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data

  Language:Jupyter Notebook508019

• cwrowley/dmdtools

  A library of tools for computing variants of Dynamic Mode Decomposition

  Language:Python4211327

• urban-fasel/SEIR_SINDY_MPC

  Language:MATLAB395012

• hanyoseob/matlab-DMD

  Dynamic Mode Decomposition (DMD)

  Language:MATLAB293014

• kpchamp/SINDySR3

  Language:Python275116

• datafold-dev/datafold

  Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming options). Diffusion Maps to extract geometric description from data.

  Language:Python26502

• ChristopherKing42/llama

  Inference code for LLaMA models

  Language:Python25007

• UW-ACL/SCPToolbox_tutorial

  Tutorials for SCPToolbox.jl

  Language:HTML20505

• urban-fasel/EnsembleSINDy

  Language:MATLAB18203

• urban-fasel/FlexWingROM

  Language:MATLAB172124

• jglombitza/tutorial_generative_models

  Language:Jupyter Notebook3106

• MoSubaiei/pykoopman

  Language:Python110