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auto-sklearn

Automated Machine Learning with scikit-learn

bulk-and-cut

Multi-objective optimization for CNNs

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.

deeplearninglab

gui-miotto.github.io

hexmeshcylinders

Creates structured hexahedral meshes for volumes for OpenFOAM

holovel

Measuring low flow rates with lensless holography and particle velocimetry

imgaug

Image augmentation for machine learning experiments.

nest-dopamine

nest-simulator

The NEST simulator

openpiv-python

OpenPIV is an open source Particle Image Velocimetry analysis software written in Python and Cython

python-tkinter-project-with-sqlite-database

pytorch-focal-loss

Multi-class focal loss for PyTorch

pytorch_unet

A Pytorch implementation of the U-Net network for image segmentation

readme-template

README.md template for your open-source project

retinex

retinex image enhancement algorithms

scikit-learn

scikit-learn: machine learning in Python

spiking-bg-rl

A spiking neural network model of reinforcement learning in the basal ganglia

tensorflow_ddpg

A Tensorflow implementation of the hierarchical DDPG for reinforcement learning

webdataset

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

weekly_cv_takeaway

Every week, I read a new computer vision paper and summarize it here.