Python Binary-tree Resources

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

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Alpha Zero General (any game, any framework!) A simplified, highly flexible, commented and (hopefully) easy to understand implementation of self-play

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

Editor for json/standard python data

The Xiaomi Redmi Note 7 (codenamed "lavender") is a mid-range smartphone from Xiaomi announced in January 2019. Device specifications Device Xiaomi Re

Multi-objective constrained optimization for energy applications via tree ensembles

Collatz Conjecture A simple python program that draws a tree for incrementing values using the Collatz Conjecture. Values which can be edited: Length

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

Test symmetries with sklearn decision tree models Setup Begin from an environment with a recent version of python 3. source setup.sh Leave the enviro

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.

find-unicode-control These scripts look for non-printable unicode characters in all text files in a source tree. find_unicode_control.py should work w

dbv Decision Border Visualizer for Classification Algorithms Project description A python package for Machine Learning Engineers who want to visualize

DecisionTree A simple python implementation of Decision Tree, using Gini index. Usage: import DecisionTree node = DecisionTree.trainDecisionTree(lab

Offline Reverse Image Search Overview This app finds duplicate to near duplicate images by generating a hash value for each image stored with a specia

PGpoints Pytorch implementation of the paper Progressive Growing of Points with Tree-structured Generators (BMVC 2021) Hyeontae Son, Young Min Kim Pre

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

napkinXC napkinXC is an extremely simple and fast library for extreme multi-class and multi-label classification, that focus of implementing various m

Description DeepRTS is a high-performance Real-TIme strategy game for Reinforcement Learning research. It is written in C++ for performance, but provi

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

Created by Olga Sutyrina, Sarah Elemili, Abduragim Shtanchaev and Artur Bille Individual Tree Crown classification on WorldView-2 Images using Autoenc

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.

ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss (HDCWNet) (

Draw tree diagrams This repository contains two very different scripts to produce hierarchical tree diagrams like this one: $ ./classtree.py collectio

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

Physarum-Swarm-Steiner-Algo Source code for The Power of Many: A Physarum Steiner Tree Algorithm Code implements ideas from the following papers: Sher

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

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

中文 | English 一个易用的高性能异步 web 框架。 Index.py 文档 Index.py 实现了 ASGI3 接口，并使用 Radix Tree 进行路由查找。是最快的 Python web 框架之一。一切特性都服务于快速开发高性能的 Web 服务。 大量正确的类型注释 灵活且高效的

Finger is a function symbol recognition engine for binary programs

Decision Tree Writer This package allows you to train a binary classification decision tree on a list of labeled dictionaries or class instances, and

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

SynNet This repo contains the code and analysis scripts for our amortized approach to synthetic tree generation using neural networks. Our model can s

CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search This repository is the official implementation of CAPITAL: Optimal Subgrou

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

general-phylomoji: a phylogenetic tree of emoji

Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.

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

Deep Halftoning with Reversible Binary Pattern ICCV Paper | Project Website | BibTex Overview Existing halftoning algorithms usually drop colors and f

StochFuzz: A New Solution for Binary-only Fuzzing StochFuzz is a (probabilistically) sound and cost-effective fuzzing technique for stripped binaries.

E9AFL --- Binary AFL E9AFL inserts American Fuzzy Lop (AFL) instrumentation into x86_64 Linux binaries. This allows binaries to be fuzzed without the

QSYM: A Practical Concolic Execution Engine Tailored for Hybrid Fuzzing Environment Tested on Ubuntu 14.04 64bit and 16.04 64bit Installation # disabl

About Fuzzification Fuzzification helps developers protect the released, binary-only software from attackers who are capable of applying state-of-the-

AntiFuzz: Impeding Fuzzing Audits of Binary Executables Get the paper here: https://www.usenix.org/system/files/sec19-guler.pdf Usage: The python scri

ON-LSTM This repository contains the code used for word-level language model and unsupervised parsing experiments in Ordered Neurons: Integrating Tree

IDA2Obj IDA2Obj is a tool to implement SBI (Static Binary Instrumentation). The working flow is simple: Dump object files (COFF) directly from one exe

User-friendly, tiny source code searcher written in pure Python. Example Usages Cat is equivalent in the regular expression as '^Cat$' bor class Cat

Soft-Decision-Tree Soft-Decision-Tree is the pytorch implementation of Distilling a Neural Network Into a Soft Decision Tree, paper recently published

Awesome angr A collection of resources/tools and analyses for the angr binary analysis framework. This page does not only collect links and external r

Tree-Structured Long Short-Term Memory Networks This is a PyTorch implementation of Tree-LSTM as described in the paper Improved Semantic Representati

DoomNet DoomNet is a ViZDoom agent trained by reinforcement learning. The agent is a neural network that outputs a probability of actions given only p

TreePartNet This is the code repository implementing the paper "TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction". Depende

Modularized exploit generation framework for x86_64 binaries Overview This project is still at early stage of development, so you might want to come b

directory-structure Print a directory tree structure in your Python code. Download You can simply: pip install directory-structure Or you can also: Cl

Fast MST Algorithm Implementation of fast algorithms for (Maximum Spanning Tree) MST parsing that includes fast ArcMax+Reweighting+Tarjan algorithm fo

MWPToolkit is a PyTorch-based toolkit for Math Word Problem (MWP) solving. It is a comprehensive framework for research purpose that integrates popular MWP benchmark datasets and typical deep learning-based MWP algorithms.

SSTNet Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks(ICCV2021) by Zhihao Liang, Zhihao Li, Songcen Xu, Mingkui Tan, Kui J

ktool Static Mach-O binary metadata analysis tool / information dumper pip3 install k2l Development is currently taking place on the @python3.10 branc

R2D2 This is the official code for paper titled "R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Mode

hex2array-c Creates a C array from a hex-string. Usage Usage: python3 hex2array_c.py HEX_STRING [-h|--help] Use '-' to read the hex string from STDIN.

Binary Stochastic Neurons in PyTorch http://r2rt.com/binary-stochastic-neurons-in-tensorflow.html https://github.com/pytorch/examples/tree/master/mnis

S2-BNN (Self-supervised Binary Neural Networks Using Distillation Loss) This is the official pytorch implementation of our paper: "S2-BNN: Bridging th

AlphaZero-Gomoku This is an implementation of the AlphaZero algorithm for playing the simple board game Gomoku (also called Gobang or Five in a Row) f

Wisdom Tree Wisdom Tree is a tui concentration app I am working on. Inspired by the wisdom tree in Plants vs. Zombies which gives in-game tips when it

A python library to build Model Trees with Linear Models at the leaves.

An implementation of a floating-point binary fractions class and module in Python. Work with binary fractions and binary floats with ease!

NAS-Bench-Macro This repository includes the benchmark and code for NAS-Bench-Macro in paper "Prioritized Architecture Sampling with Monto-Carlo Tree

Multivariate Boosted TRee What is MBTR MBTR is a python package for multivariate boosted tree regressors trained in parameter space. The package can h

Graph-to-Tree Learning for Solving Math Word Problems PyTorch implementation of Graph based Math Word Problem solver described in our ACL 2020 paper G

MBTR is a python package for multivariate boosted tree regressors trained in parameter space.

PMatch Semantic-based Patch Detection for Binary Programs Requirement tensorflow-gpu 1.13.1 numpy 1.16.2 scikit-learn 0.20.3 ssdeep 3.4 Usage tar -xvz

To solve games using AI, we will introduce the concept of a game tree followed by minimax algorithm.

Deep Image Search is an AI-based image search engine that includes deep transfer learning features Extraction and tree-based vectorized search technique.

Midas ELF64 Injector Description Midas ELF64 Injector is a tool that will help you inject a C program from source code into an ELF64 binary. All you n

Deep Image Search - AI-Based Image Search Engine Deep Image Search is an AI-based image search engine that includes deep transfer learning features Ex

MNIST-dataset-extractor Extract MNIST handwritten digits dataset binary file into bmp images More info at http://yann.lecun.com/exdb/mnist/ Dependenci

gcptree Like the unix tree command but for GCP Org Heirarchy. For a note on coloring, the org node is green, folders and blue, and projects that are n

BPR Binary Passage Retriever (BPR) is an efficient neural retrieval model for open-domain question answering. BPR integrates a learning-to-hash techni

CasRel-pytorch-reimplement Pytorch reimplement of the paper "A Novel Cascade Binary Tagging Framework for Relational Triple Extraction" ACL2020. The o

Learning Structural Edits via Incremental Tree Transformations Code for "Learning Structural Edits via Incremental Tree Transformations" (ICLR'21) 1.

Gitta Gitta ("Grammar Induction using a Template Tree Approach") is a method for inducing context-free grammars. It performs particularly well on data

An easy-to-use high-performance asynchronous web framework.

BNN - BN = ? Training Binary Neural Networks without Batch Normalization Codes for this paper BNN - BN = ? Training Binary Neural Networks without Bat

Algorithmic Trading This machine learning algorithm was built using Python 3 and scikit-learn with a Decision Tree Classifier. The program gathers sto

SABnzbd is an Open Source Binary Newsreader written in Python.

The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. I

Continuous Reforestation Make tree planting a part of your daily workflow. 🌳 A GitHub Action for planting trees within your development workflow usin

BiPointNet: Binary Neural Network for Point Clouds Created by Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Li

TreeInterpreter Package for interpreting scikit-learn's decision tree and random forest predictions. Allows decomposing each prediction into bias and

Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a

Little Ball of Fur is a graph sampling extension library for Python. Please look at the Documentation, relevant Paper, Promo video and External Resour

The Gramps Project ( https://gramps-project.org ) We strive to produce a genealogy program that is both intuitive for hobbyists and feature-complete f

nptsne nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation and HSNE modelling. For more detail s

A neural-based binary analysis tool Introduction This directory contains the demo of a neural-based binary analysis tool. We test the framework using

nptsne nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation and HSNE modelling. For more detail s

Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a

wheel This library is the reference implementation of the Python wheel packaging standard, as defined in PEP 427. It has two different roles: A setupt