Pinned Repositories
236610-Distributed-Graph-Algorithms
Lecture notes for distributed graph algorithms course @ CS faculty Technion
applyxn-c-macro
APPLYXn is a macro extension tool for the C preprocessor. It basically receives a macro name and a variable number of items; then applies the macro on each item one-by-one.
arduino-sun-heated-boiler-pump-controller
Arduino code for sun-heated boiler pump controller based on readings from two 10k thermistors.
libmysqlasync
C MySQL Asynchronous connector using libuv & MariaDB
NDFA
Neural Data-Flow Analysis: A tool for solving program-related tasks which involve data-flow analysis using deep neural networks
romv-scheduler-python
Python implementation for the ROMV scheduler (read-only multi-version) with RR (round robin) scheduling scheme over the transactions.
eladn's Repositories
eladn/libmysqlasync
C MySQL Asynchronous connector using libuv & MariaDB
eladn/236610-Distributed-Graph-Algorithms
Lecture notes for distributed graph algorithms course @ CS faculty Technion
eladn/applyxn-c-macro
APPLYXn is a macro extension tool for the C preprocessor. It basically receives a macro name and a variable number of items; then applies the macro on each item one-by-one.
eladn/arduino-sun-heated-boiler-pump-controller
Arduino code for sun-heated boiler pump controller based on readings from two 10k thermistors.
eladn/NDFA
Neural Data-Flow Analysis: A tool for solving program-related tasks which involve data-flow analysis using deep neural networks
eladn/romv-scheduler-python
Python implementation for the ROMV scheduler (read-only multi-version) with RR (round robin) scheduling scheme over the transactions.
eladn/ai-236501-w2021-hw1-heuristic-search
Homework assignment #1 (heuristic search, A*, Iterative-Deepening A*) design for the course Introduction to Artificial Intelligence (236501) at the Technion semester winter 2021
eladn/code2seq
Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"
eladn/code2vec
TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
eladn/confclass
Python package for working with program configuration parameters
eladn/dethash
Python library for calculating a deterministic hash for a structured objects
eladn/faf
eladn/gatsby-starter-netlify-cms
eladn/github_scraper
Python script for scraping GitHub repositories
eladn/js-sequence-diagrams
Draws simple SVG sequence diagrams from textual representation of the diagram
eladn/libuv
Cross-platform asynchronous I/O
eladn/navyhack
eladn/OpenNMT-py
Open Source Neural Machine Translation in PyTorch
eladn/python-data-structures
Common data structures implemented in python
eladn/statistics_utils
eladn/stats_utils
Utilities for accumulated statistics implemented in python
eladn/structhash
Python library for calculating a deterministic hash for a structured object
eladn/structured-weighted-violation-mira
Classic NLP Viterbi model for sentiment prediction task implemented with MIRA and SWVM algorithms
eladn/swift
The Swift Programming Language
eladn/swift-deferred-snapshots-rc-gc
Swift compiler with Deferred Snapshots RC Concurrent Garbage Collector
eladn/swift-with-atomic-arc
eladn/tensors_data_class
PyTorch Extension Library for organizing tensors in a form of a structured tree of dataclasses, with built-in support for advanced collating mechanisms.