tuelwer Goto Github PK

augmentor

Image augmentation library in Python for machine learning.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

blog-code-snippets

Code snippets used in tutorials on my blog.

conditional-pixelcnn-pytorch

PyTorch implementation of a conditional pixelCNN using gated convolutional layers

cvxpy

A Python-embedded modeling language for convex optimization problems.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

docs

The Rocket.Chat server, desktop, mobile, user, admin & developer documentation.

docs-1

The open-source repo for docs.github.com

github-actions-badge

A GitHub Actions README badge

icbinb.github.io

learn-optimizer-rgdn

Learning Deep Gradient Descent Optimization for Image Deconvolution. Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang. In IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020.

lectures

repository with the lectures for MLSS Skoltech

machine-learning-reproducibility-challenge-2021

mlrc

Editorial venue for ML Reproducibility Challenge Accepted papers

mprnet

Official repository for "Multi-Stage Progressive Image Restoration" (CVPR 2021). SOTA results for Image deblurring, deraining, and denoising.

normalizing_flows

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

numpy

Numpy main repository

phase-retrieval

Python 3 implementation of Fienup's phase retrieval algorithms

pixelcnn-pytorch

prdeep

This package contains the code to run prDeep; a noise robust phase retrieval algorithm based on deep neural networks.

probability

Probabilistic reasoning and statistical analysis in TensorFlow

pymatting

A Python library for alpha matting

pysensors

PySensors is a Python package for sparse sensor placement

pysindy

A package for the sparse identification of nonlinear dynamical systems from data

python-count-lines-of-code

Count lines of code in a folder/project

pytorch-tutorial

Code I used during a PyTorch tutorial I gave within the scope of Stefan Harmeling's machine learning lecture

pytorch_flows

Implementation and tutorials of normalizing flows with the novel distributions module

reference-learning

scikit-fuzzy

Fuzzy Logic SciKit (Toolkit for SciPy)

shock-filter

Python3 implementation of the shock-filter and the chromatic-shock filter