175 Repositories
Python tree-math Libraries
Course Materials for Math 340
UBC Math 340 Materials This repository aims to be the one repository for which you can find everything you about Math 340. Lecture Notes Lecture Notes
Stochastic Gradient Trees implementation in Python
Stochastic Gradient Trees - Python Stochastic Gradient Trees1 by Henry Gouk, Bernhard Pfahringer, and Eibe Frank implementation in Python. Based on th
Extremely simple and fast extreme multi-class and multi-label classifiers.
napkinXC napkinXC is an extremely simple and fast library for extreme multi-class and multi-label classification, that focus of implementing various m
A Real-Time-Strategy game for Deep Learning research
Description DeepRTS is a high-performance Real-TIme strategy game for Reinforcement Learning research. It is written in C++ for performance, but provi
Individual Tree Crown classification on WorldView-2 Images using Autoencoder -- Group 9 Weak learners - Final Project (Machine Learning 2020 Course)
Created by Olga Sutyrina, Sarah Elemili, Abduragim Shtanchaev and Artur Bille Individual Tree Crown classification on WorldView-2 Images using Autoenc
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss (HDCWNet)
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss (HDCWNet) (
Draw tree diagrams from indented text input
Draw tree diagrams This repository contains two very different scripts to produce hierarchical tree diagrams like this one: $ ./classtree.py collectio
Source code for The Power of Many: A Physarum Swarm Steiner Tree Algorithm
Physarum-Swarm-Steiner-Algo Source code for The Power of Many: A Physarum Steiner Tree Algorithm Code implements ideas from the following papers: Sher
Hypernets: A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
An easy-to-use high-performance asynchronous web framework.
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
PyPI package for scaffolding out code for decision tree models that can learn to find relationships between the attributes of an object.
Decision Tree Writer This package allows you to train a binary classification decision tree on a list of labeled dictionaries or class instances, and
SynNet - synthetic tree generation using neural networks
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
CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search This repository is the official implementation of CAPITAL: Optimal Subgrou
general-phylomoji: a phylogenetic tree of emoji
general-phylomoji: a phylogenetic tree of emoji
Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"
ON-LSTM This repository contains the code used for word-level language model and unsupervised parsing experiments in Ordered Neurons: Integrating Tree
User-friendly, tiny source code searcher written by pure Python.
User-friendly, tiny source code searcher written in pure Python. Example Usages Cat is equivalent in the regular expression as '^Cat$' bor class Cat
CalcuPy 📚 Create console-based calculators in a few lines of code.
CalcuPy 📚 Create console-based calculators in a few lines of code. 📌 Installation pip install calcupy 📌 Usage from calcupy import Calculator calc
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.
D2L.ai: Interactive Deep Learning Book with Multi-Framework Code, Math, and Discussions Book website | STAT 157 Course at UC Berkeley | Latest version
pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"
Soft-Decision-Tree Soft-Decision-Tree is the pytorch implementation of Distilling a Neural Network Into a Soft Decision Tree, paper recently published
Tree LSTM implementation in PyTorch
Tree-Structured Long Short-Term Memory Networks This is a PyTorch implementation of Tree-LSTM as described in the paper Improved Semantic Representati
Reinforcement learning models in ViZDoom environment
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
This is the code repository implementing the paper "TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction".
TreePartNet This is the code repository implementing the paper "TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction". Depende
Print a directory tree structure in your Python code.
directory-structure Print a directory tree structure in your Python code. Download You can simply: pip install directory-structure Or you can also: Cl
Implementation of fast algorithms for Maximum Spanning Tree (MST) parsing that includes fast ArcMax+Reweighting+Tarjan algorithm for single-root dependency parsing.
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.
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.
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks
SSTNet Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks(ICCV2021) by Zhihao Liang, Zhihao Li, Songcen Xu, Mingkui Tan, Kui J
pix2tex: Using a ViT to convert images of equations into LaTeX code.
The goal of this project is to create a learning based system that takes an image of a math formula and returns corresponding LaTeX code.
The official code for paper "R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling".
R2D2 This is the official code for paper titled "R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Mode
Official implementation for ICDAR 2021 paper "Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer"
Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer Description Convert offline handwritten mathematical expressi
An application that maps an image of a LaTeX math equation to LaTeX code.
Convert images of LaTex math equations into LaTex code.
emoji-math computes the given python expression and returns either the value or the nearest 5 emojis as measured by cosine similarity.
emoji-math computes the given python expression and returns either the value or the nearest 5 emojis as measured by cosine similarity.
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
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 is a concentration app i am working on.
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.
A python library to build Model Trees with Linear Models at the leaves.
A Python package for floating-point binary fractions. Do math in base 2!
An implementation of a floating-point binary fractions class and module in Python. Work with binary fractions and binary floats with ease!
NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021
NAS-Bench-Macro This repository includes the benchmark and code for NAS-Bench-Macro in paper "Prioritized Architecture Sampling with Monto-Carlo Tree
A Django chatbot that is capable of doing math and searching Chinese poet online. Developed with django, channels, celery and redis.
Django Channels Websocket Chatbot A Django chatbot that is capable of doing math and searching Chinese poet online. Developed with django, channels, c
Multivariate Boosted 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
Code for Graph-to-Tree Learning for Solving Math Word Problems (ACL 2020)
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.
MBTR is a python package for multivariate boosted tree regressors trained in parameter space.
To solve games using AI, we will introduce the concept of a game tree followed by minimax algorithm.
To solve games using AI, we will introduce the concept of a game tree followed by minimax algorithm.
a simple proof system I made to learn math without any mistakes
math_up a simple proof system I made to learn math without any mistakes 0. Short Introduction test yourself, enjoy your math! math_up is an NBG-based,
Deep Image Search - AI-Based Image Search Engine
Deep Image Search is an AI-based image search engine that includes deep transfer learning features Extraction and tree-based vectorized search technique.
Explore related sequences in the OEIS
OEIS explorer This is a tool for exploring two different kinds of relationships between sequences in the OEIS: mentions (links) of other sequences on
Deep Image Search is an AI-based image search engine that includes deep transfor learning features Extraction and tree-based vectorized search.
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
Discord bot for calculating basic operations and formulas. (Early Development)
MathBot Discord bot for calculating basic operations and formulas. (Early Development) Commits Feel free to contribute to this bot by forking and pull
gcptree - Like the unix tree command but for GCP Org Heirarchy
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
A computer algebra system written in pure Python
SymPy See the AUTHORS file for the list of authors. And many more people helped on the SymPy mailing list, reported bugs, helped organize SymPy's part
Code for "Learning Structural Edits via Incremental Tree Transformations" (ICLR'21)
Learning Structural Edits via Incremental Tree Transformations Code for "Learning Structural Edits via Incremental Tree Transformations" (ICLR'21) 1.
Grammar Induction using a Template Tree Approach
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.
An easy-to-use high-performance asynchronous web framework.
A Python library created to assist programmers with complex mathematical functions
libmaths libmaths was created not only as a learning experience for me, but as a way to make mathematical models in seconds for Python users using mat
Algorithmic trading using machine learning.
Algorithmic Trading This machine learning algorithm was built using Python 3 and scikit-learn with a Decision Tree Classifier. The program gathers sto
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning
The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. I
Manim is an animation engine for explanatory math videos.
A community-maintained Python framework for creating mathematical animations.
Make tree planting a part of your daily workflow. 🌳
Continuous Reforestation Make tree planting a part of your daily workflow. 🌳 A GitHub Action for planting trees within your development workflow usin
The MATH Dataset
Measuring Mathematical Problem Solving With the MATH Dataset This is the repository for Measuring Mathematical Problem Solving With the MATH Dataset b
treeinterpreter - Interpreting scikit-learn's decision tree and random forest predictions.
TreeInterpreter Package for interpreting scikit-learn's decision tree and random forest predictions. Allows decomposing each prediction into bias and
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
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 - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Little Ball of Fur is a graph sampling extension library for Python. Please look at the Documentation, relevant Paper, Promo video and External Resour
Animation engine for explanatory math videos
Manim is an engine for precise programatic animations, designed for creating explanatory math videos. Note, there are two versions of manim. This repo
Source code for Gramps Genealogical program
The Gramps Project ( https://gramps-project.org ) We strive to produce a genealogy program that is both intuitive for hobbyists and feature-complete f
A Python library created to assist programmers with complex mathematical functions
libmaths was created not only as a learning experience for me, but as a way to make mathematical models in seconds for Python users using mat
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a
A Static Analysis Tool for Detecting Security Vulnerabilities in Python Web Applications
This project is no longer maintained March 2020 Update: Please go see the amazing Pysa tutorial that should get you up to speed finding security vulne
Custom Python linting through AST expressions
bellybutton bellybutton is a customizable, easy-to-configure linting engine for Python. What is this good for? Tools like pylint and flake8 provide, o
Utilities for implementing a modified pre-order traversal tree in django.
django-mptt Utilities for implementing Modified Preorder Tree Traversal with your Django Models and working with trees of Model instances. Project hom
My 500 LED xmas tree
xmastree2020 This repository contains the code used for Matt's Christmas tree, as featured in "I wired my tree with 500 LED lights and calculated thei
A simple terminal Christmas tree made with Python
Python Christmas Tree A simple CLI Christmas tree made with Python Installation Just clone the repository and run $ python terminal_tree.py More opti
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a
A computer algebra system written in pure Python
SymPy See the AUTHORS file for the list of authors. And many more people helped on the SymPy mailing list, reported bugs, helped organize SymPy's part
Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:
MLJAR Automated Machine Learning Documentation: https://supervised.mljar.com/ Source Code: https://github.com/mljar/mljar-supervised Table of Contents
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Little Ball of Fur is a graph sampling extension library for Python. Please look at the Documentation, relevant Paper, Promo video and External Resour
Minimal examples of data structures and algorithms in Python
Pythonic Data Structures and Algorithms Minimal and clean example implementations of data structures and algorithms in Python 3. Contributing Thanks f