188 Repositories
Python step-function Libraries
A faster Python generator that get function results from multi-process workers
multiyield This package implements a Python generator that get function results from multi-process workers. The faster_fifo Queue (instead of the stan
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
pmdarima Pmdarima (originally pyramid-arima, for the anagram of 'py' + 'arima') is a statistical library designed to fill the void in Python's time se
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
pmdarima Pmdarima (originally pyramid-arima, for the anagram of 'py' + 'arima') is a statistical library designed to fill the void in Python's time se
Gradually automate your procedures, one step at a time
Gradualist Gradually automate your procedures, one step at a time Inspired by https://blog.danslimmon.com/2019/07/15/ Features Main Features Converts
Tensorflow Implementation of SMU: SMOOTH ACTIVATION FUNCTION FOR DEEP NETWORKS USING SMOOTHING MAXIMUM TECHNIQUE
SMU A Tensorflow Implementation of SMU: SMOOTH ACTIVATION FUNCTION FOR DEEP NETWORKS USING SMOOTHING MAXIMUM TECHNIQUE arXiv https://arxiv.org/abs/211
Pipetools enables function composition similar to using Unix pipes.
Pipetools Complete documentation pipetools enables function composition similar to using Unix pipes. It allows forward-composition and piping of arbit
An implementation of a discriminant function over a normal distribution to help classify datasets.
CS4044D Machine Learning Assignment 1 By Dev Sony, B180297CS The question, report and source code can be found here. Github Repo Solution 1 Based on t
The Timescale NFT Starter Kit is a step-by-step guide to get up and running with collecting, storing, analyzing and visualizing NFT data from OpenSea, using PostgreSQL and TimescaleDB.
Timescale NFT Starter Kit The Timescale NFT Starter Kit is a step-by-step guide to get up and running with collecting, storing, analyzing and visualiz
a simple function that randomly generates and applies console text colors
ChangeConsoleTextColour a simple function that randomly generates and applies console text colors This repository corresponds to my Python Functions f
A program for calculating the divisor function
DivisorsFunctionCalculator A program for calculating the divisor function A script to find the "Sigma" (divisors function) of any number. To find the
A simple library project, a library function to make a temporary email, receive all messages
fake-email A simple library project, a library function to make a temporary email, receive all messages Installation : pip install fake-email Example
Python Function to manage users via SCIM
Python Function to manage users via SCIM This script helps you to manage your v2 users. You can add and delete users or groups, add users to groups an
With this package, you can generate mixed-integer linear programming (MIP) models of trained artificial neural networks (ANNs) using the rectified linear unit (ReLU) activation function
With this package, you can generate mixed-integer linear programming (MIP) models of trained artificial neural networks (ANNs) using the rectified linear unit (ReLU) activation function. At the moment, only TensorFlow sequential models are supported. Interfaces to either the Pyomo or Gurobi modeling environments are offered.
An Airflow operator to call the main function from the dbt-core Python package
airflow-dbt-python An Airflow operator to call the main function from the dbt-core Python package Motivation Airflow running in a managed environment
A simple python-function, to gain all wlan passwords from stored wlan-profiles on a computer.
Wlan Fetcher Windows10 Description A simple python-function, to gain all wlan passwords from stored wlan-profiles on a computer. Usage This Script onl
This is a five-step framework for the development of intrusion detection systems (IDS) using machine learning (ML) considering model realization, and performance evaluation.
AB-TRAP: building invisibility shields to protect network devices The AB-TRAP framework is applicable to the development of Network Intrusion Detectio
An implementation for the loss function proposed in Decoupled Contrastive Loss paper.
Decoupled-Contrastive-Learning This repository is an implementation for the loss function proposed in Decoupled Contrastive Loss paper. Requirements P
An example file showing a simple endpoints like a login/logout function and maybe some others.
Flask API Example An example project showing a simple endpoints like a login/logout function and maybe some others. How to use: Open up your IDE (or u
A utility for functional piping in Python that allows you to access any function in any scope as a partial.
WithPartial Introduction WithPartial is a simple utility for functional piping in Python. The package exposes a context manager (used with with) calle
Constructing interpretable quadratic accuracy predictors to serve as an objective function for an IQCQP problem that represents NAS under latency constraints and solve it with efficient algorithms.
IQNAS: Interpretable Integer Quadratic programming Neural Architecture Search Realistic use of neural networks often requires adhering to multiple con
Use generator for range function
Use the generator for the range function! installation method: pip install yrange How to use: First import yrange in your application. You can then wo
CloudFormation template and CDK stack that contains a CustomResource with Lambda function to allow the setting of the targetAccountIds attribute of the EC2 Image Builder AMI distribution settings which is not currently supported (as of October 2021) in CloudFormation or CDK.
ec2-imagebuilder-ami-share CloudFormation template and CDK stack that contains a CustomResource with Lambda function to allow the setting of the targe
A graph-to-sequence model for one-step retrosynthesis and reaction outcome prediction.
Graph2SMILES A graph-to-sequence model for one-step retrosynthesis and reaction outcome prediction. 1. Environmental setup System requirements Ubuntu:
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
Focal Frequency Loss - Official PyTorch Implementation This repository provides the official PyTorch implementation for the following paper: Focal Fre
CadQuery is an intuitive, easy-to-use Python module for building parametric 3D CAD models.
A python parametric CAD scripting framework based on OCCT
TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper submitted to KDD21: Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning for Customer Acquisition.
AITM TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling the Sequen
CORS Bypass Proxy Cloud Function
CORS Bypass Proxy Cloud Function
Finger is a function symbol recognition engine for binary programs
Finger is a function symbol recognition engine for binary programs
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
Gradient Step Denoiser for convergent Plug-and-Play
Source code for the paper "Gradient Step Denoiser for convergent Plug-and-Play"
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
lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch
lookahead optimizer for pytorch PyTorch implement of Lookahead Optimizer: k steps forward, 1 step back Usage: base_opt = torch.optim.Adam(model.parame
functorch is a prototype of JAX-like composable function transforms for PyTorch.
functorch is a prototype of JAX-like composable function transforms for PyTorch.
Extending the Django authentication system with a phone verification step.
Extending the Django authentication system with a phone verification step.
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
My attempt to reverse the Discord nitro token generation function.
discord-theory-I PART: I My attempt to reverse the Discord nitro token generation function. The Nitro generation tools thing is common in Discord now,
Simple algorithm search engine like google in python using function
Mini-Search-Engine-Like-Google I have created the simple algorithm search engine like google in python using function. I am matching every word with w
Fully reproducible, Dockerized, step-by-step, tutorial on how to mock a "real-time" Kafka data stream from a timestamped csv file. Detailed blog post published on Towards Data Science.
time-series-kafka-demo Mock stream producer for time series data using Kafka. I walk through this tutorial and others here on GitHub and on my Medium
step by step guide for beginners for getting started with open source
Step-by-Step Guide for beginners for getting started with Open-Source Here The Contribution Begins 💻 If you are a beginner then this repository is fo
BasicVSR++ function for VapourSynth
BasicVSR++ BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment Ported from https://github.com/open-mmlab/mmediting De
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
PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation
PocketNet This is the official repository of the paper: PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and M
Implementation of "A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement" by pytorch
This repository is used to suspend the results of our paper "A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement"
aws-lambda-scheduler lets you call any existing AWS Lambda Function you have in a future time.
aws-lambda-scheduler aws-lambda-scheduler lets you call any existing AWS Lambda Function you have in the future. This functionality is achieved by dyn
a python function to plot a geopandas dataframe
Pretty GeoDataFrame A minimum python function (~60 lines) to draw pretty geodataframe. Based on matplotlib, shapely, descartes. Installation just use
Step by Step Guide To Install Discord Py Master Branch on Replit
Guide to Install Discord Py Master Branch on Replit Step 1 Create an empty repl on replit Step 2 Add this Basic Code to the file main.py so as to chec
Find target hash collisions for Apple's NeuralHash perceptual hash function.💣
neural-hash-collider Find target hash collisions for Apple's NeuralHash perceptual hash function. For example, starting from a picture of this cat, we
Python function to query SQLite files stored on S3
sqlite-s3-query Python function to query a SQLite file stored on S3. It uses multiple HTTP range requests per query to avoid downloading the entire fi
goal: render videos on eu4's timeline function
Rendering Videos on the EU4 Time Line This repository contains code to create an eu4-savefile that plays back a video in question.
Python function to extract all the rows from a SQLite database file while iterating over its bytes, such as while downloading it
Python function to extract all the rows from a SQLite database file while iterating over its bytes, such as while downloading it
[ACM MM 2021] Joint Implicit Image Function for Guided Depth Super-Resolution
Joint Implicit Image Function for Guided Depth Super-Resolution This repository contains the code for: Joint Implicit Image Function for Guided Depth
TF2 implementation of knowledge distillation using the "function matching" hypothesis from the paper Knowledge distillation: A good teacher is patient and consistent by Beyer et al.
FunMatch-Distillation TF2 implementation of knowledge distillation using the "function matching" hypothesis from the paper Knowledge distillation: A g
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
This is the official repository of my book "Deep Learning with PyTorch Step-by-Step". Here you will find one Jupyter notebook for every chapter in the book.
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Attention Walk ⠀⠀ A PyTorch Implementation of Watch Your Step: Learning Node Embeddings via Graph Attention (NIPS 2018). Abstract Graph embedding meth
Weighted QMIX: Expanding Monotonic Value Function Factorisation
This repo contains the cleaned-up code that was used in "Weighted QMIX: Expanding Monotonic Value Function Factorisation"
Empirical Study of Transformers for Source Code & A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code
Transformers for variable misuse, function naming and code completion tasks The official PyTorch implementation of: Empirical Study of Transformers fo
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)───┐
The purpose of this script is to bypass disablefund, provide some useful information, and dig the hook function of PHP extension.
The purpose of this script is to bypass disablefund, provide some useful information, and dig the hook function of PHP extension.
clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation
README clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation CVPR 2021 Authors: Suprosanna Shit and Johannes C. Paetzo
PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA
Soft DTW Loss Function for PyTorch in CUDA This is a Pytorch Implementation of Soft-DTW: a Differentiable Loss Function for Time-Series which is batch
The (extremely) naive sentiment classification function based on NBSVM trained on wisesight_sentiment
thai_sentiment The naive sentiment classification function based on NBSVM trained on wisesight_sentiment วิธีติดตั้ง pip install thai_sentiment==0.1.3
RGB-D Local Implicit Function for Depth Completion of Transparent Objects
RGB-D Local Implicit Function for Depth Completion of Transparent Objects [Project Page] [Paper] Overview This repository maintains the official imple
Remote execution of a simple function on the server
FunFetch Remote execution of a simple function on the server All types of Python support objects.
The elegance of Airflow + the power of AWS
Orkestra The elegance of Airflow + the power of AWS
A task-agnostic vision-language architecture as a step towards General Purpose Vision
Towards General Purpose Vision Systems By Tanmay Gupta, Amita Kamath, Aniruddha Kembhavi, and Derek Hoiem Overview Welcome to the official code base f
A step-by-step tutorial for how to work with some of the most basic features of Nav2 using a Jupyter Notebook in a warehouse environment to create a basic application.
This project has a step-by-step tutorial for how to work with some of the most basic features of Nav2 using a Jupyter Notebook in a warehouse environment to create a basic application.
(@Tablada32BOT is my bot in twitter) This is a simple bot, its main and only function is to reply to tweets where they mention their bot with their @
Remember If you are going to host your twitter bot on a page where they can read your code, I recommend that you create an .env file and put your twit
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
A tight inclusion function for continuous collision detection
Tight-Inclusion Continuous Collision Detection A conservative Continuous Collision Detection (CCD) method with support for minimum separation. You can
Python utility function to communicate with a subprocess using iterables: for when data is too big to fit in memory and has to be streamed
iterable-subprocess Python utility function to communicate with a subprocess using iterables: for when data is too big to fit in memory and has to be
An application for automation of the mining function in the game Alienworlds.IO
alienautomation A Python script made to automate the tidious job of mining on AlienWorlds This script: Automatically opens the browser Automatically l
Python function to stream unzip all the files in a ZIP archive: without loading the entire ZIP file or any of its files into memory at once
Python function to stream unzip all the files in a ZIP archive: without loading the entire ZIP file or any of its files into memory at once
Multi-scale discriminator feature-wise loss function
Multi-Scale Discriminative Feature Loss This repository provides code for Multi-Scale Discriminative Feature (MDF) loss for image reconstruction algor
A little proxy tool based on Tencent Cloud Function Service.
SCFProxy 一个基于腾讯云函数服务的免费代理池。 安装 python3 -m venv .venv source .venv/bin/activate pip3 install -r requirements.txt 项目配置 函数配置 开通腾讯云函数服务 在 函数服务 新建 中使用自定义
NoPdb: Non-interactive Python Debugger
NoPdb: Non-interactive Python Debugger Installation: pip install nopdb Docs: https://nopdb.readthedocs.io/ NoPdb is a programmatic (non-interactive) d
printstack is a Python package that adds stack trace links to the builtin print function, so that editors such as PyCharm can link you to the source of the print call.
printstack is a Python package that adds stack trace links to the builtin print function, so that editors such as PyCharm can link to the source of the print call.
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
pmdarima Pmdarima (originally pyramid-arima, for the anagram of 'py' + 'arima') is a statistical library designed to fill the void in Python's time se
ffn - a financial function library for Python
ffn - Financial Functions for Python Alpha release - please let me know if you find any bugs! If you are looking for a full backtesting framework, ple
Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.
Handwritten Line Text Recognition using Deep Learning with Tensorflow Description Use Convolutional Recurrent Neural Network to recognize the Handwrit
An extension to pandas dataframes describe function.
pandas_summary An extension to pandas dataframes describe function. The module contains DataFrameSummary object that extend describe() with: propertie
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
swifter A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner. Blog posts Release 1.0.0 Fir
Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Function, 2D Heat Conduction Convection equation with Dirichlet & Neumann BC, full Navier-Stokes Equation coupled with Poisson equation for Cavity and Channel flow in 2D using Finite Difference Method & Finite Volume Method.
Navier-Stokes-numerical-solution-using-Python- Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D D
📙 Super lightweight function registries for your library
catalogue: Super lightweight function registries for your library catalogue is a tiny, zero-dependencies library that makes it easy to add function (o
Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.
CSE-Autoloss Designing proper loss functions for vision tasks has been a long-standing research direction to advance the capability of existing models
Learning Continuous Image Representation with Local Implicit Image Function
LIIF This repository contains the official implementation for LIIF introduced in the following paper: Learning Continuous Image Representation with Lo
When doing audio and video sentiment recognition, I found that a lot of code is duplicated, often a function in different time debugging for a long time, based on this problem, I want to manage all the previous work, organized into an open source library can be iterative. For their own use and others.
FastAudioVisual Our project is developed here. The goal finish time is March 01, 2021 What is FastAudioVisual? FastAudioVisual is a tool that allows u
Python flexible slugify function
awesome-slugify Python flexible slugify function PyPi: https://pypi.python.org/pypi/awesome-slugify Github: https://github.com/dimka665/awesome-slugif
This is a Python binding to the tokenizer Ucto. Tokenisation is one of the first step in almost any Natural Language Processing task, yet it is not always as trivial a task as it appears to be. This binding makes the power of the ucto tokeniser available to Python. Ucto itself is regular-expression based, extensible, and advanced tokeniser written in C++ (http://ilk.uvt.nl/ucto).
Ucto for Python This is a Python binding to the tokeniser Ucto. Tokenisation is one of the first step in almost any Natural Language Processing task,