Eli Simhayev

modded-nanogpt. NanoGPT (124M) in 90 seconds

JGAlgo. 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.

CloakRAT. Remote Trojan agent written in C/C++ for Windows (x86-64)

root-dirtyc0w. DirtyCow root privilege escalation (CVE-2016-5195)

executorch-rs. Rust bindings for ExecuTorch - On-device AI across mobile, embedded and edge for PyTorch

Assembly-Learning. The Cyber Education Center' Assembly Book solutions

more-itertools. More routines for operating on iterables, beyond itertools

pytorch-metric-learning. The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

lag-llama. Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

DeWave. Exploration on introducing discrete codex and raw wave decoding to realize Brain-to-Text translation.

pro-israel-vc-funds. A list of VC funds who support Israel

token_elimination. Python

executorch. On-device AI across mobile, embedded and edge for PyTorch

brainmagick. 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 in Nature Machine Intelligence, 2023.

mne-python. MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

eeg-transformer. Analysis of Transformer attention in EEG signal classification

hebrew_clock_screensaver. Android ScreenSaver for Hebrew clock

torcheeg. TorchEEG is a library built on PyTorch for EEG signal analysis.

braindecode. Deep learning software to decode EEG, ECG or MEG signals

pandera. A light-weight, flexible, and expressive statistical data testing library

moabb. Mother of All BCI Benchmarks

Time-Series-Works-Conferences. Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

fzf. :cherry_blossom: A command-line fuzzy finder

TSFpaper. 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 type of model.

tab-ddpm. [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"

KDD2023-DCdetector. Python

scikit-llm. Seamlessly integrate LLMs into scikit-learn.

Adir-Miller-Notifier. sends a mail when a new show of Adir Miler has came out

cleanlab. 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.

awesome-open-data-centric-ai. Curated list of open source tooling for data-centric AI on unstructured data.

REaLTabFormer. A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.

PatchTST. An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

gluonts. Probabilistic time series modeling in Python

time-series-transformers-review. A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

scikit-learn. scikit-learn: machine learning in Python

hydra-sklearn-pipelines. Code accompanying the blogpost: "Creating Configurable Data Pre-Processing Pipelines by Combining Hydra and Sklearn" by Eli Simhayev & Benjamin Bodner

piven. Official implementation of the paper "PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction" by Eli Simhayev, Gilad Katz and Lior Rokach.

End-to-End-Time-Series. This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK

transformers. 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

fortuna. A Library for Uncertainty Quantification.

pytorch-transformer-ts. Repository of Transformer based PyTorch Time Series Models

sktime. A unified framework for machine learning with time series

papermill. 📚 Parameterize, execute, and analyze notebooks

AI_twitter_bot. AI-reply-tweets bot in any language.

Checkers-project. Checkers project - final project in Computer Science at Rogozin High School

ClimateChangeApp. Python

pre-commit. A framework for managing and maintaining multi-language pre-commit hooks.

flake8-spellcheck. ❄️ Spellcheck variables, classnames, comments, docstrings etc

great_expectations. Always know what to expect from your data.

clearml. ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

interpret. Fit interpretable models. Explain blackbox machine learning.

deepchecks. Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

megalinter. 🦙 MegaLinter analyzes 50 languages, 22 formats, 21 tooling formats, excessive copy-pastes, spelling mistakes and security issues in your repository sources with a GitHub Action, other CI tools or locally.

flake8-action. Run flake8 linter in your Python project.

Linux-Shell. Linux shell implementation in C language

Keylogger. Keylogger in C++ for Windows

portray. Your Project with Great Documentation.

scalene. Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

learning. A log of things I'm learning

hydra. Hydra is a framework for elegantly configuring complex applications

cookiecutter-data-science. A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

pytorch-lightning. Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

malware_representations_pycon_il_2021. Python

lightning-hydra-template. PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

awesome-production-machine-learning. A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

uncertainty-baselines. High-quality implementations of standard and SOTA methods on a variety of tasks.

bayesian-ntk. Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'

CTGAN. Conditional GAN for generating synthetic tabular data.

pi-snm-qde. Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles. Published at Uncertainty in AI (UAI) 2020.

google-drive-downloader. Minimal class to download shared files from Google Drive.

phoenix_login. Chrome extension to quickly open your "phoenix" (הפניקס) account

rio-paper. Code and supporting materials for the ICLR 2020 RIO paper

SSR-Net. [IJCAI18] SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation

Predicting-ages-of-bones-from-X-Rays. This notebook is my attempt at predicting ages of children from the X-Ray images of their hands.

Deep_Learning_Prediction_Intervals. ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'

ngboost. Natural Gradient Boosting for Probabilistic Prediction

irange. Produce a sequence of integers. Simple, but helpful

glacier-client. Cross-platform interface to access AWS glacier

deep-learning-uncertainty. Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

uncertainty_ICLR. Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019

Deep-Learning-Intro. Repository for code assignments of Deep Learning course by Dr. Gilad Katz in Ben-Gurion University

cmder. Lovely console emulator package for Windows

ssd_keras. Port of Single Shot MultiBox Detector to Keras

anomaly-detection-resources. Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

ipdb. Integration of IPython pdb

selectivenet. code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"

BentoML. The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

Text_Classification. Text Classification Algorithms: A Survey

anura-server. the Anura configuration manger

c-linked-list. Linked List implemented in C language

Bank-Management. Mini Project in C - Bank Management System

snake. Snake implemention in Proccessing, within StarTech Project

Twitter-Miner-And-Analyzer. Computer Science graduate project. I took part in the Symbolic Cognition and Interaction lab (https://www.gileadlab.net/) of Psychology department in Ben-Gurion University of the Negev. An automatic tool to mine tweets and analyze them.

PCCoder. Implementation of the paper "Automatic Program Synthesis of Long Programs with a Learned Garbage Collector"