MathiasGruber's Stars
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
t3-oss/create-t3-app
The best way to start a full-stack, typesafe Next.js app
shap/shap
A game theoretic approach to explain the output of any machine learning model.
plotly/dash
Data Apps & Dashboards for Python. No JavaScript Required.
mdbloice/Augmentor
Image augmentation library in Python for machine learning.
ShangtongZhang/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
scikit-optimize/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
chemprop/chemprop
Message Passing Neural Networks for Molecule Property Prediction
tensorly/tensorly
TensorLy: Tensor Learning in Python.
MathiasGruber/PConv-Keras
Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai
sunshineatnoon/LinearStyleTransfer
This is the Pytorch implementation of "Learning Linear Transformations for Fast Image and Video Style Transfer" (CVPR 2019).
titu1994/tf-TabNet
A Tensorflow 2.0 implementation of TabNet.
mattddean/t3-app-router-edge-drizzle
A simple example app which runs the excellent T3 Stack on the Edge runtime, with Next.js's beta App Router. Database queries with drizzle-orm.
riken-aip/pyHSICLasso
Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
hootnot/saxo_openapi
The saxo_openapi package provides easy access to SAXO Bank OpenAPI (https://www.developer.saxo/openapi/learn). Checkout the Jupyter notebooks covering most aspects of the API.
MathiasGruber/SRGAN-Keras
Implementation of SRGAN in Keras. Try at: www.fixmyphoto.ai
MathiasGruber/TheNinjaRPG
Source code for TheNinja-RPG
nla-group/fABBA
A Python library for the fast symbolic approximation of time series
MathiasGruber/MembraneFoam
OpenFOAM boundary conditions for doing FO and RO membrane simulations
MathiasGruber/AI-Paper-References
References for read papers + relevant links
MathiasGruber/plmd
PLMD: Peptide Ligand Molecular Dynamics, is a python module for managing the creation, running and analysis of molecular dynamics simulations of peptide-ion interactions using Amber14 and AmberTools14.
xhh232018/generative_inpainting
Generative Image Inpainting with Contextual Attention https://arxiv.org/abs/1801.07892, demo http://jhyu.me/demo