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vizier

Python-based research interface for blackbox and hyperparameter optimization, based on Google's internal Vizier Service.

voila

Voilà turns Jupyter notebooks into standalone web applications

volatility-trading

A complete set of volatility estimators based on Euan Sinclair's Volatility Trading

vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

vs

Visualization of Google's autocomplete

wae

Wasserstein Auto-Encoders

weather-forecasting-data

web-traffic-forecasting

Kaggle | Web Traffic Forecasting 📈

webcp

Codebase for "Estimating Uncertainty in Multimodal Foundation Models using Public Internet Data"

website

Source for https://fullstackdeeplearning.com

weeklyforecasting

This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model uses the forecasts of 4 sub-models: TBATS, Theta, Dynamic Harmonic Regression ARIMA and a global Recurrent Neural Network (RNN), and optimally combine them using lasso regression.

weightnorm

weightwatcher

The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

weird

That's weird: Anomaly detection using R

whentotreat

wide-residual-networks

3.8% and 18.3% on CIFAR-10 and CIFAR-100

wind-prediction-conformal

window_ops

Fast window operations

winit

Code for the ICML'21 paper "Temporal Dependencies in Feature Importance for Time Series Predictions"

wolverine

wound-ignite

Prize-winning solution to the M6 Forecasting Competition

wqu

WQU - Projects

x-transformers

A simple but complete full-attention transformer with a set of promising experimental features from various papers

xam

:dart: Personal data science and machine learning toolbox

xcessiv

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

xcs229-handouts

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

xgboostlss

An extension of XGBoost to probabilistic forecasting.

xingtian

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding