Python Binary-stochastic-neurons Resources

DLLirant DLLirant is a tool to automatize the DLL Hijacking researches on a specified binary. Live Demo How to install You need to install Visual Stud

Graph Stochastic Attention (GSAT) The official implementation of GSAT for our paper: Interpretable and Generalizable Graph Learning via Stochastic Att

Scaffold-Federated-Learning PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020). Environment numpy=

SEH Helper Author: EliseZeroTwo A Binary Ninja helper for exploring structured e

LRM-Squannacook Input data for generating stochastic streamflows are observed and simulated timeseries of streamflow. their format needs to be CSV wit

The Temporal Robustness of Stochastic Signals Code needed to reproduce the examples found in "The Temporal Robustness of Stochastic Signals" Case stud

Binary++ is an esoteric programming language based on* binary. * It's meant to be based on binary, but you can write Binary++ code using different mea

Patching - Interactive Binary Patching for IDA Pro Overview Patching assembly code to change the behavior of an existing program is not uncommon in ma

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks Under construction. Description Code for Phase diagram of S

Zepu1chr3 A Radare2 based Python module for Binary Analysis and Reverse Engineering. Installation You can simply run this command. pip3 install zepu1c

EthSema is a novel EVM-to-eWASM bytecode translator that can not only ensure the fidelity of translation but also fix commonly-seen vulnerabilities in smart contracts.

Basic sort and search algorithms written in python. These were all developed as part of my Computer Science course to demonstrate understanding so they aren't 100% efficent

Binjago 🥷 Set of tools aiding in analysis of stripped Golang binaries with Bina

Generate 3D Locomotion Data This module is intended to create 2D video trajector

SSA Our implementation of Gillespie's Stochastic Simulation Algorithm (SSA) Requirements python =3.7 numpy pandas matplotlib pyyaml Command line usag

Code for the paper : "Sinkformers: Transformers with Doubly Stochastic Attention" Paper You will find our paper here. Compat This package has been dev

ESGD-M - A stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch

Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm

Binary Classification Problem with Machine Learning Solving Approach: 1) Ultimate Goal of the Assignment: This assignment is about solving a binary cl

El_Binario El_Binario es un conversor de números Binarios, Decimales, Hexadecima

Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks? Artifact Detection/Correction - Offcial PyTorch Implementation This rep

Algo_Visualizer This project is an Algorithm Visualizer where a user can visualize common algorithms like "Bubble Sort", "Merge Sort", "Quick Sort", "

What is PngBin? The name PngBin comes from an image format file extension PNG (Portable Network Graphics) and the word Binary. An image produced by Pn

Hello, This Notebook Contains Example of Corona Virus Tweets Multi Class Classification. - Classes is: Extremely Positive, Positive, Extremely Negativ

Performance Analysis of Multi-user NOMA Wireless-Powered mMTC Networks: A Stochastic Geometry Approach Thanh Luan Nguyen, Tri Nhu Do, Georges Kaddoum

This figure is gotten from this link https://link.springer.com/chapter/10.1007/978-3-030-01449-0_24 LBP-Local-Binary-Pattern A simple code for process

Use stochastic processes to generate samples and use them to train a fully-connected neural network based on Keras which will then be used to generate residuals

Binary Converters Some shitty programs just to brush up on my understanding of binary conversions. Supported conversions formats = "unsigned-binary" |

angr angr is a platform-agnostic binary analysis framework. It is brought to you by the Computer Security Lab at UC Santa Barbara, SEFCOM at Arizona S

Official re-implementation of the Calibrated Adversarial Refinement model described in the paper Calibrated Adversarial Refinement for Stochastic Semantic Segmentation

This is a Telegram Video Compress Bot. Prouduct By Binary Tech 💫 Features Compresse videos and generate screenshots too.You can set custom video name

This is a Telegram Video Compress Bot. Prouduct By Binary Tech 💫 Features Compresse videos and generate screenshots too.You can set custom video name

🌀 Video Compressor Bot Product by BINARY Tech Deploy to Heroku The Hard Way virtualenv -p python3 VENV . ./VENV/bin/activate pip install -r requireme

PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability PCACE is a new algorithm for ranking neurons in a CNN architecture in order

VideocompBot - This is TG Video Compress BoT. Prouduct By BINARY Tech 💫

SMIT: Stochastic Multi-Label Image-to-image Translation This repository provides a PyTorch implementation of SMIT. SMIT can stochastically translate a

GEF (GDB Enhanced Features) - a modern experience for GDB with advanced debugging features for exploit developers & reverse engineers ☢

k3heap k3heap is a binary min heap implemented with reference k3heap is a component of pykit3 project: a python3 toolkit set. In this module RefHeap i

Text to Binary Converter Programmed in Python | PySimpleGUI If you like it give it a star How it works Simple text to binary and binary to text conver

Blind SQL Injection I wrote this script to solve PortSwigger Web Security Academy's particular Blind SQL injection with conditional responses lab. Bec

MADGRAD Optimization Method A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization pip install madgrad Try it out! A best

jumpdiff jumpdiff is a python library with non-parametric Nadaraya─Watson estimators to extract the parameters of jump-diffusion processes. With jumpd

ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.

STORM Stochastic Tensor Optimization for Robot Motion - A GPU Robot Motion Toolkit [Install Instructions] [Paper] [Website] This package contains code

jBrain Software associated with the AAAI 2022 paper Francesco D'Amore, Daniel Mitropolsky, Pierluigi Crescenzi, Emanuele Natale, Christos H. Papadimit

This repository contain code on Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems. The main directory include the code

Machine Learning web App This is a machine learning web application for binary classification using streamlit options this application contains 3 clas

BP-Transformer This repo contains the code for our paper BP-Transformer: Modeling Long-Range Context via Binary Partition Zihao Ye, Qipeng Guo, Quan G

SDElearn: a Python package for SDE modeling This package implements functionalities for working with Stochastic Differential Equations models (SDEs fo

HEART DISEASE AI DATATHON 2021 [Eng] / [Kor] #English This is an AI diagnosis modeling contest that uses the heart disease echocardiography and electr

Tree-Traversals (BST) 🌲 A simple BST (Binary Search Tree) generator written in python Installation Use the package manager pip to install BST. Usage

SLAMP: Stochastic Latent Appearance and Motion Prediction Official implementation of the paper SLAMP: Stochastic Latent Appearance and Motion Predicti

OnlineSearchRBIS Online Search with Best-Price and Query-Based Predictions This is the implementation of the Robust Binary Interval Search (RBIS) algo

Wav2Vec2 STT Python Beta Software Simple Python library, distributed via binary wheels with few direct dependencies, for easily using wav2vec 2.0 mode

Sort and search algorithms This repository has some common search / sort algorithms written in python, I also included the pseudocode of each algorith

Get important strings inside [Info.plist] & and Binary file also all output of result it will be saved in [app_binary].json , [app_plist_file].json file

Experiments How to reproduce experimental results of Stochastic bandits with groups of similar arms submitted paper ? Section 5 of the paper To reprod

Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons This repository contains the code to repr

What is this This is a real world application of a Recurrent Neural Network on a binary classification of time series data. This project includes data

BinTuner is a cost-efficient auto-tuning framework, which can deliver a near-optimal binary code that reveals much more differences than -Ox settings. it also can assist the binary code analysis research in generating more diversified datasets for training and testing. The BinTuner framework is based on OpenTuner, thanks to all contributors for their contributions.

Doctoral dissertation of Zheng Zhao This thesis is mainly concerned with state-space methods for a class of deep Gaussian process (DGP) regression pro

pyradiomics v3.0.1 Build Status Linux macOS Windows Radiomics feature extraction in Python This is an open-source python package for the extraction of

Dump Data from FTDI Serial Port to Binary File on MacOS

Score-Based Generative Modeling through Stochastic Differential Equations This repo contains a PyTorch implementation for the paper Score-Based Genera

decimal-converter This little python program can convert a decimal in to, Binary Octal Hexadecimal Needed Python 3 or later or a online python compile

Text Classification The purpose of this repository is to create a neural network model of NLP with deep learning for binary classification of texts re

Neurons Dataset API - The official dataloader and visualization tools for Neurons Datasets. Introduction We propose our dataloader API for loading and

A multi-platform GUI for bit-based analysis, processing, and visualization

neo Tool is great one in binary exploitation topic. instead of doing several missions by many tools and windows, you can now automate this in one tool in one session.. Enjoy it

psgcompiler A PySimpleGUI Application "Compile" your Python programs into an EXE for Windows, an APP for Mac, and a binary for Linux Installation Old-

Stochastic Model Building (SMB) This repository includes a new fast and robust stochastic optimization algorithm for training deep learning models. Th

Iterative Training: Finding Binary Weight Deep Neural Networks with Layer Binarization This repository contains the source code for the paper (link wi

Stochastic Extragradient: General Analysis and Improved Rates This repository is the official implementation of the paper "Stochastic Extragradient: G

Compiles BinaryNinja's HLIL to LLVM Approach Sweep binary for global variables, create them Sweep binary for (used?) external functions, declare those

What is Viridicle? Viridicle is a library for simulating stochastic graphical ecological models. It implements the continuous time models described in

collision_risk_estimation Collision risk estimation using stochastic motion models. This is a new approach, based on stochastic models, to predict the

This package is a python library with tools for the Molecular Simulation - Software Gromos. It allows you to easily set up, manage and analyze simulations in python.

blender-fast-stl-importer Fast STL (ASCII & Binary) importer for Blender based on https://en.wikipedia.org/wiki/STL_(file_format) Technical notes: flo

BREP : Binary Search in plaintext and gzip files Search large files in O(log n) time using binary search. We support plaintext and Gzipped files. Benc

Introduction This script trains an agent with stochastic policy gradient ascent to solve the Lunar Lander challenge from OpenAI. In order to run this

Stochastic Scene-Aware Motion Prediction [Project Page] [Paper] Description This repository contains the training code for MotionNet and GoalNet of SA

Binary check tool to identify command injection and format string vulnerabilities in blackbox binaries. Using xrefs to commonly injected and format string'd files, it will scan binaries faster than Firmware Slap.

SGD-Linear-Regressor Iterative stochastic gradient descent (SGD) linear regressor with regularization Dataset: Kaggle “Graduate Admission 2” https://w

Multi-Task Meta-Learning Modification with Stochastic Approximation This repository contains the code for the paper "Multi-Task Meta-Learning Modifica

Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation Official Code Repository for the paper "Unsupervised Documen

About Repository This repository contains code used for plots in NeurIPS 2021 paper 'Stochastic Multi-Armed Bandits with Control Variates.' About Code

Micro Manchester Tape Storage Tools for storing binary data on cassette Includes: Python script for encoding Arduino sketch for decoding Eagle CAD fil

Stochastic Gradient Trees - Python Stochastic Gradient Trees1 by Henry Gouk, Bernhard Pfahringer, and Eibe Frank implementation in Python. Based on th

Learning Architectures for Binary Networks An Pytorch Implementation of the paper Learning Architectures for Binary Networks (BNAS) (ECCV 2020) If you

Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks By Yikai Wang, Yi Yang, Fuchun Sun, Anbang Yao. This is the pytorc

Fill holes in binary 2D & 3D images fast.

Model Change Active Learning Paper (To Appear) Python code for doing active learning in graph-based semi-supervised learning (GBSSL) paradigm. Impleme

Peerix Peerix is a peer-to-peer binary cache for nix derivations. Every participating node can pull derivations from each other instances' respective

Finger is a function symbol recognition engine for binary programs

HashDB Plugin (v0.1) Author: Vector 35 Inc Plugin for interacting with the OALABS HashDB service. Description: Plugin that can be used to lookup hashe

OG-SPACE Introduction Optimized Gillespie algorithm for simulating Stochastic sPAtial models of Cancer Evolution (OG-SPACE) is a computational framewo

Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations This repo contains official code for the NeurIPS 2021 paper Imi

THOR: Transformer with Stochastic Experts This PyTorch package implements Taming Sparsely Activated Transformer with Stochastic Experts. Installation

Convert-Decimal-to-Binary-Octal-and-Hexadecimal We have a number in a decimal number, and we have to convert it into a binary, octal, and hexadecimal

Float2Binary A simple python class which finds the binary representation of a floating-point number. You can find a class in IEEE754.py file with the