Starred repositories
A high-performance library for graph algorithms written in Java. It contains a wide collection of optimized algorithms and data structures for a range of problems on graphs.
DirtyCow root privilege escalation (CVE-2016-5195)
Rust bindings for ExecuTorch - On-device AI across mobile, embedded and edge for PyTorch
The Cyber Education Center' Assembly Book solutions
More routines for operating on iterables, beyond itertools
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Exploration on introducing discrete codex and raw wave decoding to realize Brain-to-Text translation.
A list of VC funds who support Israel
On-device AI across mobile, embedded and edge for PyTorch
Training and evaluation pipeline for MEG and EEG brain signal encoding and decoding using deep learning. Code for our paper "Decoding speech perception from non-invasive brain recordings" published…
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Analysis of Transformer attention in EEG signal classification
Android ScreenSaver for Hebrew clock
TorchEEG is a library built on PyTorch for EEG signal analysis.
Deep learning software to decode EEG, ECG or MEG signals
A light-weight, flexible, and expressive statistical data testing library
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …
[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
Seamlessly integrate LLMs into scikit-learn.
sends a mail when a new show of Adir Miler has came out
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Curated list of open source tooling for data-centric AI on unstructured data.