valeman's Projects
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Python-based research interface for blackbox and hyperparameter optimization, based on Google's internal Vizier Service.
Voilà turns Jupyter notebooks into standalone web applications
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
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.
Visualization of Google's autocomplete
Wasserstein Auto-Encoders
Kaggle | Web Traffic Forecasting 📈
Codebase for "Estimating Uncertainty in Multimodal Foundation Models using Public Internet Data"
Source for https://fullstackdeeplearning.com
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.
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
That's weird: Anomaly detection using R
An official implementation of "WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting" (ICASSP 2024)
3.8% and 18.3% on CIFAR-10 and CIFAR-100
Fast window operations
Code for the ICML'21 paper "Temporal Dependencies in Feature Importance for Time Series Predictions"
Official Code of "Wavelet-inspired Invertible Network for Image Denoising"
Prize-winning solution to the M6 Forecasting Competition
WQU - Projects
A simple but complete full-attention transformer with a set of promising experimental features from various papers
:dart: Personal data science and machine learning toolbox
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.