Stars
Minimalistic large language model 3D-parallelism training
Run Windows apps such as Microsoft Office/Adobe in Linux (Ubuntu/Fedora) and GNOME/KDE as if they were a part of the native OS, including Nautilus integration. Hard fork of https://github.com/Fmst…
PyTorch optimizer based on nonlinear conjugate gradient method
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)
Python package to compute Lyapunov exponents, covariant Lyapunov vectors (CLV) and adjoints of a dynamical systems.
A PyTorch implementation of various Online & Stochastic optimization algorithms for deep learning
Some ipython notebooks implementing AI algorithms
theoretically grounded application of dropout to LSTMs
An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.
Implementation of deep learning models for time series in PyTorch.
PyTorch implementation of probabilistic deep forecast applied to air quality.
Layerwise Batch Entropy Regularization
Minimal JavaScript library for creating classic arcade-like mini-games running in the browser
This repository contains demos I made with the Transformers library by HuggingFace.
Tools to Transform a Time Series into Features and Target a.k.a Supervised Learning
🔍 A Hex Editor for Reverse Engineers, Programmers and people who value their retinas when working at 3 AM.
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)
Early stopping for PyTorch
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML 2023)
Stop Unicode trolls from messing with your code.
A simple and efficient tool to parallelize Pandas operations on all available CPUs
An implementation of SoftDTW for PyTorch.
An implementation of soft-DTW divergences.