uddsketch data structure for fast and accurate tracking of quantiles in data stream.

Build Postgres Extensions with Rust!

Educational blog posts for Rust beginners

Isolation forest implementation in Rust.

Player for your DRM-free audiobooks

A native rust implementation of a HyperBitBit algorithm.

Collection of articles listing reasons why data science projects fail.

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)

Ranger - a synergistic optimizer using RAdam (Rectified Adam) and LookAhead in one codebase

This is an implementation of Googles Yogi-Optimizer in Keras (tf.keras)

On the Variance of the Adaptive Learning Rate and Beyond

Implementations of quasi-hyperbolic optimization algorithms.

Code for this CVPR 2018 paper: "A PID Controller Approach for Stochastic Optimization of Deep Networks", Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Implementation of https://arxiv.org/abs/1904.00962

diffGrad: An Optimization Method for Convolutional Neural Networks

Adaptive and Momental Bounds for Adaptive Learning Rate Methods.

An optimizer that trains as fast as Adam and as good as SGD.

Implements pytorch code for the Accelerated SGD algorithm.

Implements the SM3-II adaptive optimization algorithm for PyTorch.

torch-optimizer -- collection of optimizers for Pytorch

A curated list of articles that cover the software engineering best practices for building machine learning applications.

jinja2 template renderer for aiohttp.web

Build interactive config-based command-line interfaces with JavaScript 😉

Model interpretability and understanding for PyTorch

aiosignal: a list of registered asynchronous callbacks

ibreakdown is model agnostic predictions explainer with interactions support, library can show contribution of each feature of your prediction value