Hey there! I'm Eli Simhayev.
My interests are Time Series and Deep Learning. These days, I'm working on Deep Learning in Neuroscience. In my free time, I like to practice Vipassana meditation 🙂
Name: Eli Simhayev
Type: User
Bio: Deep Learning in Neuroscience
Twitter: EliSimhayev
Location: Israel
A Collection of GitHub Actions That Facilitate MLOps
Repository for code assignments of Applied Machine Learning course by Prof. Lior Rokach in Ben-Gurion University
Test
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Public repo for HF blog posts
compiler implementation in c using flex
cs231n assignments - Spring 2018 - by Eli Simhayev
Conditional GAN for generating synthetic tabular data.
Repository for code assignments of Deep Learning course by Dr. Gilad Katz in Ben-Gurion University
Q-learning and Deep-Q-Learning from scratch using Open AI gym environments
ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'
A Comprehensive Analysis of Deep Regression
DeepTIME team repository for the Datahack 2019
code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
Analysis of Transformer attention in EEG signal classification
This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK
Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.
simple solution for FASSEG dataset
Hydra is a framework for elegantly configuring complex applications
Code accompanying the blogpost: "Creating Configurable Data Pre-Processing Pipelines by Combining Hydra and Sklearn" by Eli Simhayev & Benjamin Bodner
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
The official implementation of the paper "IPIV: Integrated Prediction Intervals and Specific Value Predictions for Regression Problems Using Neural Networks" by Eli Simhayev, Gilad Katz and Lior Rokach.
ICLR 2024 spotlight
PyTorch Lightning + Hydra. A feature-rich template for rapid, scalable and reproducible ML experimentation with best practices. ⚡🔥⚡
simple C implementation for a Linux shell
Learn how to responsibly deliver value with ML.
Zero-Knowledge Membership Inference Attacks Against Black-Box Models
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.