Python Signed-distance-functions Resources

Use Jax functions in Pytorch with DLPack

The micro-framework to create dataframes from functions.

PythonToolKit Motivation This Repo should help save time for data scientists' daily work regarding the Time Series regression task by providing functi

Recurrent Neural Networks Implements simple recurrent network and a stacked recurrent network in numpy and torch respectively. Both flavours implement

An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator This is a Pytorch implementation for the paper "An Empirical Study o

typesafe_parmap pip install pip install typesafe-parmap Run functions in parallel safely with typesafe parmap! GitHub: https://github.com/thejaminato

Bug Bounty Bot A telegram bot with commands to simplify bug bounty tasks Installation Use Road Map Installation BugBountyBot is open-source so you can

Cohort-Intelligence-for-Mathematical-Functions About Cohort Intelligence : Cohort Intelligence ( CI ) is an optimization technique. It attempts to mod

ttopt Description Gradient-free global optimization algorithm for multidimensional functions based on the low rank tensor train (TT) format and maximu

LEDarcade A collection of classes and functions for animated text and graphics on an Adafruit LED Matrix.

Pygame-80 A set of functions from TIC-80 tiny computer platform ported to Pygame 2.0.1. Many of them are designed to work with the NumPy library to im

Current build status All platforms: Current release info Name Downloads Version Platforms Hapi - Hydrological library for Python Hapi is an open-sourc

At Bittensor, we are creating an open, decentralized, peer-to-peer network that functions as a market system for the development of artificial intelligence.

SSSNET SSSNET: Semi-Supervised Signed Network Clustering For details, please read our paper. Environment Setup Overview The project has been tested on

OpasiumAI Opasium AI was specifically designed for the Opasium Games discord only. It is a bot that covers the basic functions of any other bot. Insta

The leading use-case for the staircase package is for the creation and analysis of step functions. Pretty exciting huh. But don't hit the close button

README Repository containing the code for the paper "Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions". Specifically, an

🔧 Rich Tools A python package with helpful functions for use alongside with the rich python library. 󠀠󠀠 The current features are: Convert a Pandas

A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021) This repository contains the official implemen

slashbot Slashbot makes it easy to create slash commands using AWS Lambda functions. These can be handy for creating a secure way to execute automated

Uses WiFi signals and machine learning (sklearn's RandomForest) to predict where you are. Even works for small distances like 2-10 meters.

WhiteBox Utilities Toolkit: Tools to make your life easier Fancy data functions that will make your life as a data scientist easier. Installing To ins

Linear Models Implementations of LinearRegression, LassoRegression and RidgeRegression with appropriate Regularizers and Optimizers. Linear Regression

Dahua Console, access internal debug console and/or other researched functions in Dahua devices.

Metaheuristics This repot implement some metaheuristics and cost functions. Metaheuristics JAYA Implement Jaya optimizer without constraints. Cost fun

Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces(ICML 2021) This repository contains the code

Conveniently measures the time of your loops, contexts and functions.

LIVE001 - AWS Lambda para Ingerir Dados de APIs Fazer o deploy de uma função lambda com infraestrutura como código Lambda vai numa API externa e extra

Fuzzy string matching like a boss. It uses Levenshtein Distance to calculate the differences between sequences in a simple-to-use package.

Python package for probability density function fitting of univariate distributions of non-censored data

Social Distance Detector A Real-Time Social Distance Monitoring Tool Table of Contents Motivation YOLO Theory Detection Output Tech Stack Functionalit

IDA Pattern Search by Argus Cyber Security Ltd. The IDA Pattern Search plugin adds a capability of finding functions according to bit-patterns into th

Official code release for ICCV 2021 paper SNARF: Differentiable Forward Skinning for Animating Non-rigid Neural Implicit Shapes.

Rational Activations - Learnable Rational Activation Functions First introduce as PAU in Padé Activation Units: End-to-end Learning of Activation Func

PoseNet of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image" Introduction This repo is official Py

Neural Distance Embeddings for Biological Sequences Official implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTo

Automate activities in Control Tower provisioned AWS accounts Table of contents Introduction Architecture Prerequisites Tools and services Usage Clean

Keval Keval allows you to call arbitrary Windows kernel-mode functions from user mode, even (and primarily) on another machine. The user mode portion

Virtual_Image_Dragger This is a virtual picture dragging application. Users may virtually slide photos across the screen. The distance between the ind

Utils Collection Motivation When we implement codes, we often search for util functions that are already implemented. Here, we are going to share util

Torch-gather A mini library that implements several useful functions binding to PyTorch in C++. What does gather do? Why do we need it? When dealing w

Pinch-zoom This is a python project based on real-time hand-gesture detection, to zoom in or out, using the distance between the index finger and the

GeDML is an easy-to-use generalized deep metric learning library

$theHasher theHasher is a Tool for generating hashes using some of the most Famous Hashes Functions ever created. You can save your hashes to correspo

YandexCloud serverless function deploy action Deploy new serverless function version (including function creation if it does not exist). Inputs yc_acc

Trex is a tool to match semantically similar functions based on transfer learning.

A Python library for calculating a large variety of statistics from text(s) using spaCy v.3 pipeline components and extensions. TextDescriptives can be used to calculate several descriptive statistics, readability metrics, and metrics related to dependency distance.

Sign-Agnostic Convolutional Occupancy Networks Paper | Supplementary | Video | Teaser Video | Project Page This repository contains the implementation

PyNIF3D is an open-source PyTorch-based library for research on neural implicit functions (NIF)-based 3D geometry representation. It aims to accelerate research by providing a modular design that allows for easy extension and combination of NIF-related components, as well as readily available paper implementations and dataset loaders.

lgamma Implementations of polygamma, lgamma, and beta functions for PyTorch. It's very hacky, but that's usually ok for research use. To build, run: .

Sign-Agnostic Convolutional Occupancy Networks Paper | Supplementary | Video | Teaser Video | Project Page This repository contains the implementation

PyTorch implementation of DAQ This is an official implementation of the paper "Distance-aware Quantization", accepted to ICCV2021. For more informatio

A suite of utilities for AWS Lambda Functions that makes tracing with AWS X-Ray, structured logging and creating custom metrics asynchronously easier

An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering Papers with code | Paper Nikola Zubić Pietro Lio University

pydsinternals - Directory Services Internals Library A Python native library containing necessary classes, functions and structures to interact with W

A Python-based application demonstrating various search algorithms, namely Depth-First Search (DFS), Breadth-First Search (BFS), and the A* Search (using the Manhattan Distance Heuristic)

FID score for PyTorch This is a port of the official implementation of Fréchet Inception Distance to PyTorch. See https://github.com/bioinf-jku/TTUR f

RapidFuzz is a fast string matching library for Python and C++, which is using the string similarity calculations from FuzzyWuzzy

NDQ: Learning Nearly Decomposable Value Functions with Communication Minimization Note This codebase accompanies paper Learning Nearly Decomposable Va

Pynixutil - Utility functions for working with data from Nix in Python Examples Base32 encoding/decoding import pynixutil input = "v5sv61sszx301i0x6x

SGCN ⠀ A PyTorch implementation of Signed Graph Convolutional Network (ICDM 2018). Abstract Due to the fact much of today's data can be represented as

SimGNN ⠀⠀⠀ A PyTorch implementation of SimGNN: A Neural Network Approach to Fast Graph Similarity Computation (WSDM 2019). Abstract Graph similarity s

Distance-encoding for GNN design This repository is the official PyTorch implementation of the DEGNN and DEAGNN framework reported in the paper: Dista

Box is a text-based visual programming language inspired by Unreal Engine blueprint function graphs. $ cat factorial.box ┌─ƒ(Factorial)───┐

SceneCollisionNet This repo contains the code for "Object Rearrangement Using Learned Implicit Collision Functions", an ICRA 2021 paper. For more info

MODeflattener deobfuscates control flow flattened functions obfuscated by OLLVM using Miasm.

AugNet AugNet: End-to-End Unsupervised Visual Representation Learning with Image Augmentation arxiv link In our work, we propose AugNet, a new deep le

Komi San wants you to study This repo contains the source code for our bot that manages time and other functions of the server 3 Features Your study

ml-helper-functions a public repository helping ML/DL engineers and DS to beautify the notebook with minimal coding.

Batch Soft-DTW(Dynamic Time Warping) in TensorFlow2 including forward and backward computation Custom TensorFlow2 implementations of forward and backw

Orkestra The elegance of Airflow + the power of AWS

SolvationAnalysis The macroscopic behavior of a liquid is determined by its microscopic structure. For ionic systems, like batteries and many enzymes,

easy_nano Send and receive nano (without having to understand the nano protocol).

Welcome! Within this respository are a few convenience functions to assist with the pulling and pushing of data from the Notion API.

MOT Tracked object bounding box association (CenterTrack++) New association method based on CenterTrack. Two new branches (Tracked Size and IOU) are a

neurobiba other languages: RU small collection of functions for neural networks. very easy to use! Installation: pip install neurobiba See examples h

This is a set of libraries for automating Cisco devices (and to a lesser extent, bash prompts) over ssh/telnet in SecureCRT.

Description 💻 This is an incredibly powerful calculator that is capable of many useful day-to-day functions. Such functions include solving basic ari

Generative Models as Distributions of Functions This repo contains code to reproduce all experiments in Generative Models as Distributions of Function

ModernGL is a python wrapper over OpenGL 3.3+ core that simplifies the creation of simple graphics applications like scientific simulations, games or user interface

CVZone This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe librar

GeoDoodle Geodesic distance computation for Blender meshes Table of Contents Overivew Usage Implementation Overview This addon provides an operator fo

MetaSDF: Meta-learning Signed Distance Functions Project Page | Paper | Data Vincent Sitzmann*, Eric Ryan Chan*, Richard Tucker, Noah Snavely Gordon W

Turns your machine learning code into microservices with web API, interactive GUI, and more.

SignedUEFIShell During our research of the BootHole vulnerability last year, we tried to find as many signed bootloaders as we could. We searched all

NLPretext packages in a unique library all the text preprocessing functions you need to ease your NLP project.

Instantly turn your Python functions into production-ready microservices. Deploy and access your services via HTTP API or interactive UI. Seamlessly export your services into portable, shareable, and executable files or Docker images.

AutoSF The code for our paper "AutoSF: Searching Scoring Functions for Knowledge Graph Embedding" and this paper has been accepted by ICDE2020. News:

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

A tour through tensorflow with financial data I present several models ranging in complexity from simple regression to LSTM and policy networks. The s

MovingPandas MovingPandas implements a Trajectory class and corresponding methods based on GeoPandas. Visit movingpandas.org for details! You can run

PyGEOS PyGEOS is a C/Python library with vectorized geometry functions. The geometry operations are done in the open-source geometry library GEOS. PyG

NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

A collection of loss functions for medical image segmentation

pyDeprecate Simple tooling for marking deprecated functions or classes and re-routing to the new successors' instance

Make your functions return something meaningful, typed, and safe! Features Brings functional programming to Python land Provides a bunch of primitives

Investigating Loss Functions for Extreme Super-Resolution NTIRE 2020 Perceptual Extreme Super-Resolution Submission. Our method ranked first and secon

DeepMLS: Deep Implicit Moving Least-Squares Functions for 3D Reconstruction This repository contains the implementation of the paper: Deep Implicit Mo

Distributional Sliced Wasserstein distance This is a pytorch implementation of the paper "Distributional Sliced-Wasserstein and Applications to Genera

LibXtract LibXtract is a simple, portable, lightweight library of audio feature extraction functions. The purpose of the library is to provide a relat