272 Repositories
Python special-functions Libraries
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
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
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“.
SCINet This is the original PyTorch implementation of the following work: Time Series is a Special Sequence: Forecasting with Sample Convolution and I
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
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
In this program, I generate the strong password from existing password without class using python. The special thing in this program is that is generate very strong password from our existing password. It replaces some elements from password and put another elements in it.
Strong-password-Generator-from-existing-password-using-python In this program, I generate the strong password from existing password without class usi
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
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
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
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
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
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
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.
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
Telegram Bot to store Posts and Documents and it can Access by Special Links.
File-sharing-Bot Telegram Bot to store Posts and Documents and it can Access by Special Links. I Guess This Will Be Usefull For Many People..... 😇 .
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:
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
LibXtract is a simple, portable, lightweight library of audio feature extraction functions.
LibXtract LibXtract is a simple, portable, lightweight library of audio feature extraction functions. The purpose of the library is to provide a relat
The goal of pandas-log is to provide feedback about basic pandas operations. It provides simple wrapper functions for the most common functions that add additional logs
pandas-log The goal of pandas-log is to provide feedback about basic pandas operations. It provides simple wrapper functions for the most common funct
Turning SymPy expressions into JAX functions
sympy2jax Turn SymPy expressions into parametrized, differentiable, vectorizable, JAX functions. All SymPy floats become trainable input parameters. S
Official implementation of the paper Image Generators with Conditionally-Independent Pixel Synthesis https://arxiv.org/abs/2011.13775
CIPS -- Official Pytorch Implementation of the paper Image Generators with Conditionally-Independent Pixel Synthesis Requirements pip install -r requi
3D Vision functions with end-to-end support for deep learning developers, written in Ivy.
Ivy vision focuses predominantly on 3D vision, with functions for camera geometry, image projections, co-ordinate frame transformations, forward warping, inverse warping, optical flow, depth triangulation, voxel grids, point clouds, signed distance functions, and others. Check out the docs for more info!
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
Write complicated anonymous functions other than lambdas in Python.
lambdex allows you to write multi-line anonymous function expression (called a lambdex) in an idiomatic manner.
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
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
SeaLion is designed to teach today's aspiring ml-engineers the popular machine learning concepts of today in a way that gives both intuition and ways of application. We do this through concise algorithms that do the job in the least jargon possible and examples to guide you through every step of the way.
Simple SDF mesh generation in Python
Generate 3D meshes based on SDFs (signed distance functions) with a dirt simple Python API.
A toolbelt of useful classes and functions to be used with python-requests
The Requests Toolbelt This is just a collection of utilities for python-requests, but don't really belong in requests proper. The minimum tested reque
AWS DeepRacer Free Student Workshop: Run faster by using your custom waypoints
AWS DeepRacer Free Student Workshop: Run faster by using your custom waypoints Reward Function Template for waypoints def reward_function(params):
A compendium of useful, interesting, inspirational usage of pandas functions, each example will be an ipynb file
Pandas_by_examples A compendium of useful/interesting/inspirational usage of pandas functions, each example will be an ipynb file What is this reposit
The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity
Contents Maintainer wanted Introduction Installation Documentation License History Source code Authors Maintainer wanted I am looking for a new mainta
Get some python in google cloud functions
[NOTE]: This is a highly experimental (and proof of concept) library so do not expect all python packages to work flawlessly. Also, cloud functions ar
Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages.
ggfortify This package offers fortify and autoplot functions to allow automatic ggplot2 to visualize statistical result of popular R packages. Check o
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
imutils A series of convenience functions to make basic image processing functions such as translation, rotation, resizing, skeletonization, and displ
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