322 Repositories
Python azion-edge-functions Libraries
Use Jax functions in Pytorch with DLPack
Use Jax functions in Pytorch with DLPack
The micro-framework to create dataframes from functions.
The micro-framework to create dataframes from functions.
my own python useful functions
PythonToolKit Motivation This Repo should help save time for data scientists' daily work regarding the Time Series regression task by providing functi
Implements Stacked-RNN in numpy and torch with manual forward and backward functions
Recurrent Neural Networks Implements simple recurrent network and a stacked recurrent network in numpy and torch respectively. Both flavours implement
This repository contains all source code, pre-trained models related to the paper "An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator"
An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator This is a Pytorch implementation for the paper "An Empirical Study o
a reimplementation of Holistically-Nested Edge Detection in PyTorch
pytorch-hed This is a personal reimplementation of Holistically-Nested Edge Detection [1] using PyTorch. Should you be making use of this work, please
Run functions in parallel easily, with their results typed correctly!
typesafe_parmap pip install pip install typesafe-parmap Run functions in parallel safely with typesafe parmap! GitHub: https://github.com/thejaminato
A telegram bot providing recon and research functions for bug bounty research
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
Cutting-edge GitHub page customization tool
Cutting-edge GitHub page customization tool Want to customize your GitHub user page, but don't know how? Now you can make your profile unique and attr
Cohort Intelligence used to solve various mathematical functions
Cohort-Intelligence-for-Mathematical-Functions About Cohort Intelligence : Cohort Intelligence ( CI ) is an optimization technique. It attempts to mod
Official PyTorch implementation of "Edge Rewiring Goes Neural: Boosting Network Resilience via Policy Gradient".
Edge Rewiring Goes Neural: Boosting Network Resilience via Policy Gradient This repository is the official PyTorch implementation of "Edge Rewiring Go
Edge Restoration Quality Assessment
ERQA - Edge Restoration Quality Assessment ERQA - a full-reference quality metric designed to analyze how good image and video restoration methods (SR
Gradient-free global optimization algorithm for multidimensional functions based on the low rank tensor train format
ttopt Description Gradient-free global optimization algorithm for multidimensional functions based on the low rank tensor train (TT) format and maximu
Classes and functions for animated text and graphics on an LED display
LEDarcade A collection of classes and functions for animated text and graphics on an Adafruit LED Matrix.
A set of functions compatible with the TIC-80 platform
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
Hapi is a Python library for building Conceptual Distributed Model using HBV96 lumped model & Muskingum routing method
Current build status All platforms: Current release info Name Downloads Version Platforms Hapi - Hydrological library for Python Hapi is an open-sourc
Bittensor - an open, decentralized, peer-to-peer network that functions as a market system for the development of artificial intelligence
At Bittensor, we are creating an open, decentralized, peer-to-peer network that functions as a market system for the development of artificial intelligence.
Opasium AI was specifically designed for the Opasium Games discord only. It is a bot that covers the basic functions of any other bot.
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
A powerful data analysis package based on mathematical step functions. Strongly aligned with pandas.
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
Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions
README Repository containing the code for the paper "Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions". Specifically, an
Helpful functions for use alongside the rich Python library.
🔧 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)
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021) This repository contains the official implemen
A python library for creating Slack slash commands using AWS Lambda Functions
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
Fancy data functions that will make your life as a data scientist easier.
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
Implementations of Machine Learning models, Regularizers, Optimizers and different Cost functions.
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.
Dahua Console, access internal debug console and/or other researched functions in Dahua devices.
Implement some metaheuristics and cost functions
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)
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.
Conveniently measures the time of your loops, contexts and functions.
Criando Lambda Functions para Ingerir Dados de APIs com AWS CDK
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
distfit - Probability density fitting
Python package for probability density function fitting of univariate distributions of non-censored data
IDAPatternSearch adds a capability of finding functions according to bit-patterns into the well-known IDA Pro disassembler based on Ghidra’s function patterns format.
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
pcnaDeep integrates cutting-edge detection techniques with tracking and cell cycle resolving models.
pcnaDeep: a deep-learning based single-cell cycle profiler with PCNA signal Welcome! pcnaDeep integrates cutting-edge detection techniques with tracki
🗣️ Microsoft Edge TTS for Home Assistant, no need for app_key
Microsoft Edge TTS for Home Assistant This component is based on the TTS service of Microsoft Edge browser, no need to apply for app_key. Install Down
Official code release for ICCV 2021 paper SNARF: Differentiable Forward Skinning for Animating Non-rigid Neural Implicit Shapes.
Official code release for ICCV 2021 paper SNARF: Differentiable Forward Skinning for Animating Non-rigid Neural Implicit Shapes.
Rational Activation Functions - Replacing Padé Activation Units
Rational Activations - Learnable Rational Activation Functions First introduce as PAU in Padé Activation Units: End-to-end Learning of Activation Func
Bleeding edge django template focused on code quality and security.
wemake-django-template Bleeding edge django2.2 template focused on code quality and security. Purpose This project is used to scaffold a django projec
Automated AWS account hardening with AWS Control Tower and AWS Step Functions
Automate activities in Control Tower provisioned AWS accounts Table of contents Introduction Architecture Prerequisites Tools and services Usage Clean
This is a vision-based 3d model manipulation and control UI
Manipulation of 3D Models Using Hand Gesture This program allows user to manipulation 3D models (.obj format) with their hands. The project support bo
Keval allows you to call arbitrary Windows kernel-mode functions from user mode, even (and primarily) on another machine.
Keval Keval allows you to call arbitrary Windows kernel-mode functions from user mode, even (and primarily) on another machine. The user mode portion
ERQA - Edge Restoration Quality Assessment
ERQA - a full-reference quality metric designed to analyze how good image and video restoration methods (SR, deblurring, denoising, etc) are restoring real details.
Bleeding edge django template focused on code quality and security.
wemake-django-template Bleeding edge django2.2 template focused on code quality and security. Purpose This project is used to scaffold a django projec
A Django project skeleton that is modern and cutting edge.
{% comment "This comment section will be deleted in the generated project" %} Edge A Fantastic Django project starter. Features Ready Bootstrap-themed
We provide useful util functions. When adding a util function, please add a description of the util function.
Utils Collection Motivation When we implement codes, we often search for util functions that are already implemented. Here, we are going to share util
A mini lib that implements several useful functions binding to PyTorch in C++.
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
GeDML is an easy-to-use generalized deep metric learning library
GeDML is an easy-to-use generalized deep metric learning library
Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021
Codes for ECBSR Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices Xindong Zhang, Hui Zeng, Lei Zhang ACM Multimedia 202
theHasher Tool created for generate strong and unbreakable passwords by using Hash Functions.Generate Hashes and store them in txt files.Use the txt files as lists to execute Brute Force Attacks!
$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
GitHub action to deploy serverless functions to YandexCloud
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.
Trex is a tool to match semantically similar functions based on transfer learning.
ICCV2021 Oral SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks
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.
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.
Implementations of polygamma, lgamma, and beta functions for PyTorch
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: .
ICCV2021 Oral SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks
Sign-Agnostic Convolutional Occupancy Networks Paper | Supplementary | Video | Teaser Video | Project Page This repository contains the implementation
Code for the ICCV 2021 paper "Pixel Difference Networks for Efficient Edge Detection" (Oral).
Pixel Difference Convolution This repository contains the PyTorch implementation for "Pixel Difference Networks for Efficient Edge Detection" by Zhuo
A suite of utilities for AWS Lambda Functions that makes tracing with AWS X-Ray, structured logging and creating custom metrics asynchronously easier
A suite of utilities for AWS Lambda Functions that makes tracing with AWS X-Ray, structured logging and creating custom metrics asynchronously easier
We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.
An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering Papers with code | Paper Nikola Zubić Pietro Lio University
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
Note: This is an alpha (preview) version which is still under refining. nn-Meter is a novel and efficient system to accurately predict the inference l
nn-Meter is a novel and efficient system to accurately predict the inference latency of DNN models on diverse edge devices
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
pydsinternals - A Python native library containing necessary classes, functions and structures to interact with Windows Active Directory.
pydsinternals - Directory Services Internals Library A Python native library containing necessary classes, functions and structures to interact with W
Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
NDQ: Learning Nearly Decomposable Value Functions with Communication Minimization Note This codebase accompanies paper Learning Nearly Decomposable Va
Utility functions for working with data from Nix in Python
Pynixutil - Utility functions for working with data from Nix in Python Examples Base32 encoding/decoding import pynixutil input = "v5sv61sszx301i0x6x
edgedressing leverages a Windows "feature" in order to force a target's Edge browser to open. This browser is then directed to a URL of choice.
edgedressing One day while experimenting with airpwn-ng, I noticed unexpected GET requests on the target node. The node in question happened to be a W
The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
Hailo Model Zoo The Hailo Model Zoo provides pre-trained models for high-performance deep learning applications. Using the Hailo Model Zoo you can mea
box is a text-based visual programming language inspired by Unreal Engine Blueprint function graphs.
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
SceneCollisionNet This repo contains the code for "Object Rearrangement Using Learned Implicit Collision Functions", an ICRA 2021 paper. For more info
Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks
PyTorch code to reproduce LyDROO algorithm [1], which is an online computation offloading algorithm to maximize the network data processing capability subject to the long-term data queue stability and average power constraints. It applies Lyapunov optimization to decouple the multi-stage stochastic MINLP into deterministic per-frame MINLP subproblems and solves each subproblem via DROO algorithm. It includes:
MODeflattener deobfuscates control flow flattened functions obfuscated by OLLVM using Miasm.
MODeflattener deobfuscates control flow flattened functions obfuscated by OLLVM using Miasm.
The AugNet Python module contains functions for the fast computation of image similarity.
AugNet AugNet: End-to-End Unsupervised Visual Representation Learning with Image Augmentation arxiv link In our work, we propose AugNet, a new deep le
Script to decrypt / import chromium (edge/chrome) cookies
Cloonie Script to decrypt / import chromium (edge/chrome) cookies. Requirements Install the python dependencies via pip: pip install -r requirements.t
Source Code for our bot that manages time and other functions of the server 3
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
a public repository helping ML/DL engineers and DS to beautify the notebook with minimal coding.
ml-helper-functions a public repository helping ML/DL engineers and DS to beautify the notebook with minimal coding.
This websocket program is for data transmission between server and client. Data transmission is for Federated Learning in Edge computing environment.
websocket-for-data-transmission This websocket program is for data transmission between server and client. Data transmission is for Federated Learning
The elegance of Airflow + the power of AWS
Orkestra The elegance of Airflow + the power of AWS
A set of functions and analysis classes for solvation structure analysis
SolvationAnalysis The macroscopic behavior of a liquid is determined by its microscopic structure. For ionic systems, like batteries and many enzymes,
🥦 Send and receive nano with 2 simple functions
easy_nano Send and receive nano (without having to understand the nano protocol).
A small repository with convenience functions for working with the Notion API.
Welcome! Within this respository are a few convenience functions to assist with the pulling and pushing of data from the Notion API.
small collection of functions for neural networks
neurobiba other languages: RU small collection of functions for neural networks. very easy to use! Installation: pip install neurobiba See examples h
A set of libraries and functions for simplifying automating Cisco devices through SecureCRT.
This is a set of libraries for automating Cisco devices (and to a lesser extent, bash prompts) over ssh/telnet in SecureCRT.
This is an incredibly powerful calculator that is capable of many useful day-to-day functions.
Description 💻 This is an incredibly powerful calculator that is capable of many useful day-to-day functions. Such functions include solving basic ari
Pytorch implementation of Generative Models as Distributions of Functions 🌿
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
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
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 libraries.
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
Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"
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.
Turns your machine learning code into microservices with web API, interactive GUI, and more.
NLPretext packages in a unique library all the text preprocessing functions you need to ease your NLP project.
NLPretext packages in a unique library all the text preprocessing functions you need to ease your NLP project.
Turns your Python functions into microservices with web API, interactive GUI, and more.
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.
Y. Zhang, Q. Yao, W. Dai, L. Chen. AutoSF: Searching Scoring Functions for Knowledge Graph Embedding. IEEE International Conference on Data Engineering (ICDE). 2020
AutoSF The code for our paper "AutoSF: Searching Scoring Functions for Knowledge Graph Embedding" and this paper has been accepted by ICDE2020. News:
Official implementation of GraphMask as presented in our paper Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking.
GraphMask This repository contains an implementation of GraphMask, the interpretability technique for graph neural networks presented in our ICLR 2021
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
A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading
A tour through tensorflow with financial data I present several models ranging in complexity from simple regression to LSTM and policy networks. The s
Implementation of Trajectory classes and functions built on top of GeoPandas
MovingPandas MovingPandas implements a Trajectory class and corresponding methods based on GeoPandas. Visit movingpandas.org for details! You can run
Wraps GEOS geometry functions in numpy ufuncs.
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.
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
A collection of loss functions for medical image segmentation
Simple tooling for marking deprecated functions or classes and re-routing to the new successors' instance.
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!
Make your functions return something meaningful, typed, and safe! Features Brings functional programming to Python land Provides a bunch of primitives
git《Investigating Loss Functions for Extreme Super-Resolution》(CVPR 2020) GitHub:
Investigating Loss Functions for Extreme Super-Resolution NTIRE 2020 Perceptual Extreme Super-Resolution Submission. Our method ranked first and secon
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction
DeepMLS: Deep Implicit Moving Least-Squares Functions for 3D Reconstruction This repository contains the implementation of the paper: Deep Implicit Mo
Jetson Nano-based smart camera system that measures crowd face mask usage in real-time.
MaskCam MaskCam is a prototype reference design for a Jetson Nano-based smart camera system that measures crowd face mask usage in real-time, with all