200 Repositories
Python function-annotations Libraries
Find usage statistics (imports, function calls, attribute access) for Python code-bases
Python Library stats This is a small library that allows you to query some useful statistics for Python code-bases. We currently report library import
A python package to manage the stored receiver-side Strain Green's Tensor (SGT) database of 3D background models and able to generate Green's function and synthetic waveform
A python package to manage the stored receiver-side Strain Green's Tensor (SGT) database of 3D background models and able to generate Green's function and synthetic waveform
Source for the paper "Universal Activation Function for machine learning"
Universal Activation Function Tensorflow and Pytorch source code for the paper Yuen, Brosnan, Minh Tu Hoang, Xiaodai Dong, and Tao Lu. "Universal acti
For specific function. For my own convenience. Remind owner to share data to another DITO user.
For specific function. For my own convenience. Remind owner to share data to another DITO user.
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
Powerful and efficient Computer Vision Annotation Tool (CVAT)
Computer Vision Annotation Tool (CVAT) CVAT is free, online, interactive video and image annotation tool for computer vision. It is being used by our
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
Code-free deep segmentation for computational pathology
NoCodeSeg: Deep segmentation made easy! This is the official repository for the manuscript "Code-free development and deployment of deep segmentation
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
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
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
Software to help automate collecting crowdsourced annotations using Mechanical Turk.
Video Crowdsourcing Software to help automate collecting crowdsourced annotations using Mechanical Turk. The goal of this project is to enable crowdso
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
[BMVC2021] The official implementation of "DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations"
DomainMix [BMVC2021] The official implementation of "DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations" [paper] [de
Official implementation for the paper: "Multi-label Classification with Partial Annotations using Class-aware Selective Loss"
Multi-label Classification with Partial Annotations using Class-aware Selective Loss Paper | Pretrained models Official PyTorch Implementation Emanuel
Official implementation for the paper: Multi-label Classification with Partial Annotations using Class-aware Selective Loss
Multi-label Classification with Partial Annotations using Class-aware Selective Loss Paper | Pretrained models Official PyTorch Implementation Emanuel
[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
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
A hack for writing switch statements with type annotations in Python.
py_annotation_switch A hack for writing switch statements in type annotations for Python. Why should I use this? You most definitely should not use th
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
functorch is a prototype of JAX-like composable function transforms for PyTorch.
functorch is a prototype of JAX-like composable function transforms for PyTorch.
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,
AnnIE - Annotation Platform, tool for open information extraction annotations using text files.
AnnIE - Annotation Platform, tool for open information extraction annotations using text files.
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
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
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
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
A graphical Semi-automatic annotation tool based on labelImg and Yolov5
💕YOLOV5 semi-automatic annotation tool (Based on labelImg)
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.
BoxInst: High-Performance Instance Segmentation with Box Annotations
Introduction This repository is the code that needs to be submitted for OpenMMLab Algorithm Ecological Challenge, the paper is BoxInst: High-Performan
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
A Data Annotation Tool for Semantic Segmentation, Object Detection and Lane Line Detection.(In Development Stage)
Data-Annotation-Tool How to Run this Tool? To run this software, follow the steps: git clone https://github.com/Autonomous-Car-Project/Data-Annotation
[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
Synthetic LiDAR sequential point cloud dataset with point-wise annotations
SynLiDAR dataset: Learning From Synthetic LiDAR Sequential Point Cloud This is official repository of the SynLiDAR dataset. For technical details, ple
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
STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)
STEAL This is the official inference code for: Devil Is in the Edges: Learning Semantic Boundaries from Noisy Annotations David Acuna, Amlan Kar, Sanj
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.
Markup is an online annotation tool that can be used to transform unstructured documents into structured formats for NLP and ML tasks, such as named-entity recognition. Markup learns as you annotate in order to predict and suggest complex annotations. Markup also provides integrated access to existing and custom ontologies, enabling the prediction and suggestion of ontology mappings based on the text you're annotating.
Markup is an online annotation tool that can be used to transform unstructured documents into structured formats for NLP and ML tasks, such as named-entity recognition. Markup learns as you annotate in order to predict and suggest complex annotations. Markup also provides integrated access to existing and custom ontologies, enabling the prediction and suggestion of ontology mappings based on the text you're annotating.
IMGUR5K handwriting set. It is a handwritten in-the-wild dataset, which contains challenging real world handwritten samples from different writers.The dataset is shared as a set of image urls with annotations. This code downloads the images and verifies the hash to the image to avoid data contamination.
IMGUR5K Handwriting Dataset To run the code for downloading the urls and generate corresponding annotations : Usage: python download_imgur5k.py --data
(@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
3D AffordanceNet is a 3D point cloud benchmark consisting of 23k shapes from 23 semantic object categories, annotated with 56k affordance annotations and covering 18 visual affordance categories.
3D AffordanceNet This repository is the official experiment implementation of 3D AffordanceNet benchmark. 3D AffordanceNet is a 3D point cloud benchma
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
API spec validator and OpenAPI document generator for Python web frameworks.
API spec validator and OpenAPI document generator for Python web frameworks.
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
Runtime type annotations for the shape, dtype etc. of PyTorch Tensors.
torchtyping Type annotations for a tensor's shape, dtype, names, ... Turn this: def batch_outer_product(x: torch.Tensor, y: torch.Tensor) - torch.Ten
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.
Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT CheXbert is an accurate, automated dee
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
Pre-commit hook for upgrading type hints
This is a pre-commit hook configured to automatically upgrade your type hints to the new native types implemented in PEP 585.
Tool for translation type comments to type annotations in Python
com2ann Tool for translation of type comments to type annotations in Python. The tool requires Python 3.8 to run. But the supported target code versio
Re-apply type annotations from .pyi stubs to your codebase.
retype Re-apply type annotations from .pyi stubs to your codebase. Usage Usage: retype [OPTIONS] [SRC]... Re-apply type annotations from .pyi stubs
Auto-generate PEP-484 annotations
PyAnnotate: Auto-generate PEP-484 annotations Insert annotations into your source code based on call arguments and return types observed at runtime. F
A system for Python that generates static type annotations by collecting runtime types
MonkeyType MonkeyType collects runtime types of function arguments and return values, and can automatically generate stub files or even add draft type
Typical: Fast, simple, & correct data-validation using Python 3 typing.
typical: Python's Typing Toolkit Introduction Typical is a library devoted to runtime analysis, inference, validation, and enforcement of Python types
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
Typical: Fast, simple, & correct data-validation using Python 3 typing.
typical: Python's Typing Toolkit Introduction Typical is a library devoted to runtime analysis, inference, validation, and enforcement of Python types
Auto-generate PEP-484 annotations
PyAnnotate: Auto-generate PEP-484 annotations Insert annotations into your source code based on call arguments and return types observed at runtime. F
A system for Python that generates static type annotations by collecting runtime types
MonkeyType MonkeyType collects runtime types of function arguments and return values, and can automatically generate stub files or even add draft type