nkamsteve's repositories
DIVE-frontend
Codebase for DIVE SPA using React and Redux
d3plus-text
A smart SVG text box with line wrapping and automatic font size scaling.
DIVE-backend
Codebase for DIVE backend (server, worker, and ORM)
blaze
NumPy and Pandas interface to Big Data
domain-transfer-network
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
ATM
Auto Tune Models - A multi-user, multi-data system for automated machine learning (model selection and tuning).
play-workflow
Composable workflows for Play! framework
ink
🌈 React for interactive command-line apps
notebook-runtime
The reactive runtime for Observable notebooks.
notebook-inspector
The DOM-based inspector for Observable notebooks.
lore
Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers
FES
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
sherlock
Easy distributed locks for Python with a choice of backends.
playground
Play with neural networks!
yalc
Work with yarn/npm packages locally like a boss.
DisruptorFlow
Sequential sync/async task processor based on LMax Disruptor - extremely fast!
spearmint
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
propel
Differential Programming in JavaScript.
jsonstore
:floppy_disk: :rocket: Store your data for free by sending simple HTTP requests
perf-infra
Utilities for performance infrastructure
machinelabs
Code that powers machinelabs.ai
Eve
Better tools for thought
ARS
An implementation of the Augmented Random Search algorithm
FractalAI
Cellular automaton-based calculus for the masses
parfit
A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with optional plotting routines.
convnetjs
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
hyperopt-sklearn
Hyper-parameter optimization for sklearn
RelationPrediction
Implementation of R-GCNs for Relational Link Prediction