212 Repositories
Python probability-density-function Libraries
Rich Prosody Diversity Modelling with Phone-level Mixture Density Network
Phone Level Mixture Density Network for TTS This repo contains pytorch implementation of paper Rich Prosody Diversity Modelling with Phone-level Mixtu
KwaiRec: A Fully-observed Dataset for Recommender Systems (Density: Almost 100%)
KuaiRec: A Fully-observed Dataset for Recommender Systems (Density: Almost 100%) KuaiRec is a real-world dataset collected from the recommendation log
You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.
07_Python_Advanced_Topics Introduction 👋 In this tutorial, you will learn about: Python Iterators: They are objects that can be iterated upon. In thi
My Solutions to 120 commonly asked data science interview questions.
Data_Science_Interview_Questions Introduction 👋 Here are the answers to 120 Data Science Interview Questions The above answer some is modified based
E0 AI Bot is based on the message, it prints the answer with the highest probability using probability from the database.
E0 AI Chat Bot Based on the message, it prints the answer with the highest probability using probability from the database. Install on linux (Arch,Deb
DeepStruc is a Conditional Variational Autoencoder which can predict the mono-metallic nanoparticle from a Pair Distribution Function.
ChemRxiv | [Paper] XXX DeepStruc Welcome to DeepStruc, a Deep Generative Model (DGM) that learns the relation between PDF and atomic structure and the
Point Density-Aware Voxels for LiDAR 3D Object Detection (CVPR 2022)
PDV PDV is LiDAR 3D object detection method. This repository is based off [OpenPCDet]. Point Density-Aware Voxels for LiDAR 3D Object Detection Jordan
SystemSix is an e-Ink "desk accessory" running on a Raspberry Pi. It is a bit of nostalgia that can function as a calendar, display the weather
SystemSix is an e-Ink "desk accessory" running on a Raspberry Pi. It is a bit of nostalgia that can function as a calendar, display the weather, the c
Official code of the paper "Expanding Low-Density Latent Regions for Open-Set Object Detection" (CVPR 2022)
OpenDet Expanding Low-Density Latent Regions for Open-Set Object Detection (CVPR2022) Jiaming Han, Yuqiang Ren, Jian Ding, Xingjia Pan, Ke Yan, Gui-So
(CVPR 2022 - oral) Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry
Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry Official implementation of the paper Multi-View Depth Est
PyTorch reimplementation of the Smooth ReLU activation function proposed in the paper "Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations" [arXiv 2022].
Smooth ReLU in PyTorch Unofficial PyTorch reimplementation of the Smooth ReLU (SmeLU) activation function proposed in the paper Real World Large Scale
Generating interfaces(CLI, Qt GUI, Dash web app) from a Python function.
oneFace is a Python library for automatically generating multiple interfaces(CLI, GUI, WebGUI) from a callable Python object. oneFace is an easy way t
Birthday-problem - The birthday problem asks for the probability that, in a set of n randomly chosen people, at least two will share a birthday
Birthday-problem In probability theory, the birthday problem asks for the probab
Buffon’s needle: one of the oldest problems in geometric probability
Buffon-s-Needle Buffon’s needle is one of the oldest problems in geometric proba
hydrotoolbox is a Python script for hydrologic calculations and analysis or by function calls within Python.
hydrotoolbox is a Python script for hydrologic calculations and analysis or by function calls within Python.
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks.
AllSet This is the repo for our paper: You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks. We prepared all codes and a subse
Map Ookla server locations as a Kernel Density Estimation (KDE) geographic map plot.
Ookla Server KDE Plotting This notebook was created to map Ookla server locations as a Kernel Density Estimation (KDE) geographic map plot. Currently,
A programme which basically has the same function as the actual Rock paper scissors game.
A programme which basically has the same function as the actual Rock paper scissors game.
Implementation of linesearch Optimization Algorithms in Python
Nonlinear Optimization Algorithms During my time as Scientific Assistant at the Karlsruhe Institute of Technology (Germany) I implemented various Opti
A Numba-based two-point correlation function calculator using a grid decomposition
A Numba-based two-point correlation function (2PCF) calculator using a grid decomposition. Like Corrfunc, but written in Numba, with simplicity and hackability in mind.
A Python function for Slurm, to monitor the GPU information
Gpu-Monitor A Python function for Slurm, where I couldn't use nvidia-smi to monitor the GPU information. whole repo is not finish Installation TODO Mo
A PyTorch-based R-YOLOv4 implementation which combines YOLOv4 model and loss function from R3Det for arbitrary oriented object detection.
R-YOLOv4 This is a PyTorch-based R-YOLOv4 implementation which combines YOLOv4 model and loss function from R3Det for arbitrary oriented object detect
This program presents convolutional kernel density estimation, a method used to detect intercritical epilpetic spikes (IEDs)
Description This program presents convolutional kernel density estimation, a method used to detect intercritical epilpetic spikes (IEDs) in [Gardy et
Density is a open-sourced multi-purpose tool for ROBLOX with some cool
Density is a open-sourced multi-purpose tool for ROBLOX with some cool
Supervised Sliding Window Smoothing Loss Function Based on MS-TCN for Video Segmentation
SSWS-loss_function_based_on_MS-TCN Supervised Sliding Window Smoothing Loss Function Based on MS-TCN for Video Segmentation Supervised Sliding Window
SpiroMask: Measuring Lung Function Using Consumer-Grade Masks
SpiroMask: Measuring Lung Function Using Consumer-Grade Masks Anonymised repository for paper submitted for peer review at ACM HEALTH (October 2021).
OntoProtein: Protein Pretraining With Ontology Embedding
OntoProtein This is the implement of the paper "OntoProtein: Protein Pretraining With Ontology Embedding". OntoProtein is an effective method that mak
This porject is intented to build the most accurate model for predicting the porbability of loan default
Estimating-Loan-Default-Probability IBA ML2 Mid-project / Kaggle Competition This porject is intented to build the most accurate model for predicting
Use the power of GPT3 to execute any function inside your programs just by giving some doctests
gptrun Don't feel like coding today? Use the power of GPT3 to execute any function inside your programs just by giving some doctests. How is this diff
Lambda-function - Python codes that allow notification of changes made to some services using the AWS Lambda Function
AWS Lambda Function This repository contains python codes that allow notificatio
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images Histological Image Segmentation This
Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm
Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm
This is a library for simulate probability theory problems specialy conditional probability
This is a library for simulate probability theory problems specialy conditional probability. It is also useful to create custom single or joint distribution with specific PMF or PDF to get probability table and genearte data based on probability function.
Utilities to make function-based views cleaner, more efficient, and better tasting.
django-fbv Utilities to make Django function-based views cleaner, more efficient, and better tasting. 💥 📖 Complete documentation: https://django-fbv
To model the probability of a soccer coach leave his/her team during Campeonato Brasileiro for 10 chosen teams and considering years 2018, 2019 and 2020.
To model the probability of a soccer coach leave his/her team during Campeonato Brasileiro for 10 chosen teams and considering years 2018, 2019 and 2020.
Let's make a lot of random function from Scracth...
Pseudo-Random On a whim I asked myself the question about how randomness is integrated into an algorithm? So I started the adventure by trying to code
Time Dependent DFT in Tamm-Dancoff Approximation
Density Function Theory Program - kspy-tddft(tda) This is an implementation of Time-Dependent Density Functional Theory(TDDFT) using the Tamm-Dancoff
Custom function scheduler TUI (text-based user interface) in the console
Custom function scheduler TUI (text-based user interface) in the console
Simple function to plot multiple barplots in the same figure.
Simple function to plot multiple barplots in the same figure. Supports padding and custom color.
Custom IMDB Dataset is extracted between 2020-2021 and custom distilBERT model is trained for movie success probability prediction
IMDB Success Predictor Project involves Web Scraping custom IMDB data between 2020 and 2021 of 10000 movies and shows sorted by number of votes ,fine
Bayesian A/B testing
bayesian_testing is a small package for a quick evaluation of A/B (or A/B/C/...) tests using Bayesian approach.
Instant neural graphics primitives: lightning fast NeRF and more
Instant Neural Graphics Primitives Ever wanted to train a NeRF model of a fox in under 5 seconds? Or fly around a scene captured from photos of a fact
Classification Modeling: Probability of Default
Credit Risk Modeling in Python Introduction: If you've ever applied for a credit card or loan, you know that financial firms process your information
Step by Step on how to create an vision recognition model using LOBE.ai, export the model and run the model in an Azure Function
Step by Step on how to create an vision recognition model using LOBE.ai, export the model and run the model in an Azure Function
Classification Modeling: Probability of Default
Credit Risk Modeling in Python Introduction: If you've ever applied for a credit card or loan, you know that financial firms process your information
InfiniPy has some neat features - like the endpoint for function
InfiniPy has some neat features - like the endpoint for function
Azure-function-proxy - Basic proxy as an azure function serverless app
azure function proxy (for phishing) here are config files for using *[.]azureweb
An interactive and multi-function Telegram bot, made especially for Telegram groups.
PyKorone An interaction and fun bot for Telegram groups, having some useful and other useless commands. Created as an experiment and learning bot but
Methods to get the probability of a changepoint in a time series.
Bayesian Changepoint Detection Methods to get the probability of a changepoint in a time series. Both online and offline methods are available. Read t
Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Mish: Self Regularized Non-Monotonic Activation Function BMVC 2020 (Official Paper) Notes: (Click to expand) A considerably faster version based on CU
Function Plotter: a simple application with GUI to plot mathematical functions
Function-Plotter Function Plotter is a simple application with GUI to plot mathe
Function-Plotter - GUI Application to plot math Functions
Function Plotter GUI Application to plot a user given function How to run instal
Notebooks for computing approximations to the prime counting function using Riemann's formula.
Notebooks for computing approximations to the prime counting function using Riemann's formula.
BRNet - code for Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss function
BRNet code for "Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss func
Justmagic - Use a function as a method with this mystic script, like in Nim
justmagic Use a function as a method with this mystic script, like in Nim. Just
Function-Plotter - GUI Python program that plots functions that are entered by the user
FunctionPlotter GUI Python program that plots functions that are entered by the user. The program takes minimum and maximum value for x and plot it as
Python function to construct an ODS spreadsheet on the fly - without having to store the entire file in memory or disk
stream-write-ods Python function to construct an ODS (OpenDocument Spreadsheet) on the fly - without having to store the entire file in memory or disk
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation.
Training Script for Reuse-VOS This code implementation of CVPR 2021 paper : Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Vi
Img-process-manual - Utilize Python Numpy and Matplotlib to realize OpenCV baisc image processing function
Img-process-manual - Opencv Library basic graphic processing algorithm coding reproduction based on Numpy and Matplotlib library
Force you (or your user) annotate Python function type hints.
Must-typing Force you (or your user) annotate function type hints. Notice: It's more like a joke, use it carefully. If you call must_typing in your mo
Serverless function for replicating weather underground data to an influxDB database
Weather Underground → Influx DB 🌤 Serverless function for replicating Weather U
Python function to construct a ZIP archive with on the fly - without having to store the entire ZIP in memory or disk
Python function to construct a ZIP archive with on the fly - without having to store the entire ZIP in memory or disk
This is my favourite function - the Rastrigin function.
This is my favourite function - the Rastrigin function. What sparked my curiosity and interest in the function was its complexity in terms of many local optimum points, which makes it particularly interesting and useful for testing any optimisation algorithms.
Translation to python of Chris Sims' optimization function
pycsminwel This is a locol minimization algorithm. Uses a quasi-Newton method with BFGS update of the estimated inverse hessian. It is robust against
fastapi-cache is a tool to cache fastapi response and function result, with backends support redis and memcached.
fastapi-cache Introduction fastapi-cache is a tool to cache fastapi response and function result, with backends support redis, memcache, and dynamodb.
A simple example of deploying FastAPI as a Zeit Serverless Function
FastAPI Zeit Now Deploy a FastAPI app as a Zeit Serverless Function. This repo deploys the FastAPI SQL Databases Tutorial to demonstrate how a FastAPI
Open-source library for analyzing the results produced by ABINIT
Package Continuous Integration Documentation About AbiPy is a python library to analyze the results produced by Abinit, an open-source program for the
Function Plotter✨
Function-Plotter Build With : Python PyQt5 unittest matplotlib Getting Started This is an list of needed instructions to set up your project locally,
Cookiecutter to create a Google Function. Powered by Poetry, GitHub actions, and Google Cloud Platform
Cookiecutter Google Function Cookiecutter template for a Google Function. Powered by Poetry, and GitHub actions. Quickstart Install the latest Cookiec
Pure python PEMDAS expression solver without using built-in eval function
pypemdas Pure python PEMDAS expression solver without using built-in eval function. Supports nested parenthesis. Supported operators: + - * / ^ Exampl
Python KNN model: Predicting a probability of getting a work visa. Tableau: Non-immigrant visas over the years.
The value of international students to the United States. Probability of getting a non-immigrant visa. Project timeline: Jan 2021 - April 2021 Project
Fiber implements an proof-of-concept Python decorator that rewrites a function
Fiber implements an proof-of-concept Python decorator that rewrites a function so that it can be paused and resumed (by moving stack variables to a heap frame and adding if statements to simulate jumps/gotos to specific lines of code).
This code extracts line width of phonons from specular energy density (SED) calculated with LAMMPS.
This code extracts line width of phonons from specular energy density (SED) calculated with LAMMPS.
A foreign language learning aid using a neural network to predict probability of translating foreign words
Langy Langy is a reading-focused foreign language learning aid orientated towards young children. Reading is an activity that every child knows. It is
Flake8 Type Annotation Checking
flake8-annotations flake8-annotations is a plugin for Flake8 that detects the absence of PEP 3107-style function annotations and PEP 484-style type co
Implementation of parameterized soft-exponential activation function.
Soft-Exponential-Activation-Function: Implementation of parameterized soft-exponential activation function. In this implementation, the parameters are
Hypernetwork-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels The implementation of Hypernet-Ensemble Le
PyTorch implementation of normalizing flow models
PyTorch implementation of normalizing flow models
A simple Monte Carlo simulation using Python and matplotlib library
Monte Carlo python simulation Install linux dependencies sudo apt update sudo apt install build-essential \ software-properties-commo
Official source code of paper 'IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo'
IterMVS official source code of paper 'IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo' Introduction IterMVS is a novel lear
A Python function that makes flower plots.
Flower plot A Python 3.9+ function that makes flower plots. Installation This package requires at least Python 3.9. pip install
A function decorator for enforcing function signatures
A function decorator for enforcing function signatures
Generative Handwriting using LSTM Mixture Density Network with TensorFlow
Generative Handwriting Demo using TensorFlow An attempt to implement the random handwriting generation portion of Alex Graves' paper. See my blog post
Plots the graph of a function with ASCII characters.
ASCII Graph Plotter Plots the graph of a function with ASCII characters. See the change log here. Developed by InformaticFreak (c) 2021 How to use py
Custom Python code for calculating the Probability of Profit (POP) for options trading strategies using Monte Carlo Simulations.
Custom Python code for calculating the Probability of Profit (POP) for options trading strategies using Monte Carlo Simulations.
Alternatives to Deep Neural Networks for Function Approximations in Finance
Alternatives to Deep Neural Networks for Function Approximations in Finance Code companion repo Overview This is a repository of Python code to go wit
CTO (Call Tree Overviewer) is an IDA plugin for creating a simple and efficiant function call tree graph
CTO (Call Tree Overviewer) CTO (Call Tree Overviewer) is an IDA plugin for creating a simple and efficiant function call tree graph. It can also summa
This repo provides function call to track multi-objects in videos
Custom Object Tracking Introduction This repo provides function call to track multi-objects in videos with a given trained object detection model and
pytest plugin providing a function to check if pytest is running.
pytest-is-running pytest plugin providing a function to check if pytest is running. Installation Install with: python -m pip install pytest-is-running
A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model
This repository contains the similarity metrics designed and evaluated in the paper, and instructions and code to re-run the experiments. Implementation in the deep-learning framework PyTorch
🌌A Python library to exhaustively enumerate a combinatorial space represented by a function
exhaust A Python library to exhaustively enumerate a combinatorial space represented by a function. The API is modelled after Python's random module a
Grow Function: Generate 3D Stacked Bifurcating Double Deep Cellular Automata based organisms which differentiate using a Genetic Algorithm...
Grow Function: A 3D Stacked Bifurcating Double Deep Cellular Automata which differentiates using a Genetic Algorithm... TLDR;High Def Trees that you can mint as NFTs on Solana
PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021
HyperSPN This repository contains code for the paper: HyperSPNs: Compact and Expressive Probabilistic Circuits "HyperSPNs: Compact and Expressive Prob
Python toolkit for defining+simulating+visualizing+analyzing attractors, dynamical systems, iterated function systems, roulette curves, and more
Attractors A small module that provides functions and classes for very efficient simulation and rendering of iterated function systems; dynamical syst
A simple application that calculates the probability distribution of a normal distribution
probability-density-function General info An application that calculates the probability density and cumulative distribution of a normal distribution
Official repo of the paper "Surface Form Competition: Why the Highest Probability Answer Isn't Always Right"
Surface Form Competition This is the official repo of the paper "Surface Form Competition: Why the Highest Probability Answer Isn't Always Right" We p
An Implicit Function Theorem (IFT) optimizer for bi-level optimizations
iftopt An Implicit Function Theorem (IFT) optimizer for bi-level optimizations. Requirements Python 3.7+ PyTorch 1.x Installation $ pip install git+ht
NeurIPS'21 Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows
NeurIPS'21 Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows This repo contains the code for the paper Tractable Densit
FlowTorch is a PyTorch library for learning and sampling from complex probability distributions using a class of methods called Normalizing Flows
FlowTorch is a PyTorch library for learning and sampling from complex probability distributions using a class of methods called Normalizing Flows.