A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones

Compatibility layer for NumPy to support the Array API

Towards a general-purpose foundation model for computational pathology - Nature Medicine

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

Gpu accelerated vahadane stain normalization for Digital Pathology workflows.

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

AshamaneCore Open Source MMO Framework (master = 9.0.2.36949, bfa = 8.3.7.35284, legion = 7.3.5.26972)

An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.

Wallpaper engine PKG extractor/TEX to image converter

The fast version of DeLong's method for computing the covariance of unadjusted AUC.

Python bindings to OpenSlide

very currency

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

Code for the paper "Improved Techniques for Training GANs"

subpixel: A subpixel convnet for super resolution with Tensorflow

Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies

The best way to write secure and reliable applications. Write nothing; deploy nowhere.

Python library for reading and writing image data

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Deep Learning Experiment Management

A highly efficient implementation of Gaussian Processes in PyTorch

A fast MATLAB implementation of the Weisfeiler--Lehman graph transformation and associated kernel.

dan povey's local copy of kadi-asr/kaldi

Latex code for making neural networks diagrams

A clean and readable Pytorch implementation of CycleGAN

A lightweight library for PyTorch training tools and utilities