83 Repositories
Python shapley-value Libraries
CaskDB is a disk-based, embedded, persistent, key-value store based on the Riak's bitcask paper, written in Python.
CaskDB - Disk based Log Structured Hash Table Store CaskDB is a disk-based, embedded, persistent, key-value store based on the Riak's bitcask paper, w
TimeSHAP explains Recurrent Neural Network predictions.
TimeSHAP TimeSHAP is a model-agnostic, recurrent explainer that builds upon KernelSHAP and extends it to the sequential domain. TimeSHAP computes even
Fast SHAP value computation for interpreting tree-based models
FastTreeSHAP FastTreeSHAP package is built based on the paper Fast TreeSHAP: Accelerating SHAP Value Computation for Trees published in NeurIPS 2021 X
Learn Data Science with focus on adding value with the most efficient tech stack.
DataScienceWithPython Get started with Data Science with Python An engaging journey to become a Data Scientist with Python TL;DR Download all Jupyter
graphical orbitational simulation of solar system planets with real values and physics implemented so you get a nice elliptical orbits. you can change timestamp value or scale from source code idc.
solarSystemOrbitalSimulation graphical orbitational simulation of solar system planets with real values and physics implemented so you get a nice elli
K2HASH Python library - NoSQL Key Value Store(KVS) library
k2hash_python Overview k2hash_python is an official python driver for k2hash. Install Firstly you must install the k2hash shared library: curl -o- htt
Viperdb - A tiny log-structured key-value database written in pure Python
ViperDB 🐍 ViperDB is a lightweight embedded key-value store written in pure Pyt
This component provides a wrapper to display SHAP plots in Streamlit.
streamlit-shap This component provides a wrapper to display SHAP plots in Streamlit.
PyCache - simple key:value server written with Python
PyCache simple key:value server written with Python and client is here run server python -m pycache.server or from pycache.server import start_server
Import some key/value data to Prometheus custom-built Node Exporter in Python
About the app In one particilar project, i had to import some key/value data to Prometheus. So i have decided to create my custom-built Node Exporter
UUID_ApiGenerator - This an API that will return a key-value pair of randomly generated UUID
This an API that will return a key-value pair of randomly generated UUID. Key will be a timestamp and value will be UUID. While the
Trace all method entries and exits, the exit also prints the return value, if it is of basic type
Trace all method entries and exits, the exit also prints the return value, if it is of basic type. The apk must have set the android:debuggable="true" flag.
Pytorch Implementation of Value Retrieval with Arbitrary Queries for Form-like Documents.
Value Retrieval with Arbitrary Queries for Form-like Documents Introduction Pytorch Implementation of Value Retrieval with Arbitrary Queries for Form-
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning This repository provides an implementation of the paper Beta S
A simple API that will return a key-value pair of randomly generated UUID
A simple API that will return a key-value pair of randomly generated UUID. Key will be a timestamp and value will be UUID. While the server is running, whenever the API is called, it should return all the previous UUIDs ever generated by the API alongside a new UUID.
converts nominal survey data into a numerical value based on a dictionary lookup.
SWAP RATE Converts nominal survey data into a numerical values based on a dictionary lookup. It allows the user to switch nominal scale data from text
MAVE: : A Product Dataset for Multi-source Attribute Value Extraction
The dataset contains 3 million attribute-value annotations across 1257 unique categories on 2.2 million cleaned Amazon product profiles. It is a large, multi-sourced, diverse dataset for product attribute extraction study.
Reference implementation for Structured Prediction with Deep Value Networks
Deep Value Network (DVN) This code is a python reference implementation of DVNs introduced in Deep Value Networks Learn to Evaluate and Iteratively Re
This project is related to a No-SQL database, whose data are referred to autoctone botanic species
This project is related to a No-SQL database, whose data are referred to autoctone botanic species. The final goal is creating a function that performs the estimation of the ornamental value, given the specific characteristics of a single species.
Pytorch implementations of the paper Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients
LSF-SAC Pytorch implementations of the paper Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy G
Python package for Near Duplicate Video Detection (Perceptual Video Hashing) - Get a 64-bit comparable hash-value for any video.
The Python package for near duplicate video detection ⭐️ Introduction Videohash is a Python package for detecting near-duplicate videos (Perceptual Vi
A Simple Key-Value Data-store written in Python
mercury-db This is a File Based Key-Value Datastore that supports basic CRUD (Create, Read, Update, Delete) operations developed using Python. The dat
Various converters to convert value sets from CSV to JSON, etc.
ValueSet Converters Tools for converting value sets in different formats. Such as converting extensional value sets in CSV format to JSON format able
This code is 3d-CNN model that can predict environmental value
Predict-environmental-value-3dCNN This code is 3d-CNN model that can predict environmental value. Firstly, I built a model that can create a lot of bu
Data cleaning, missing value handle, EDA use in this project
Lending Club Case Study Project Brief Solving this assignment will give you an idea about how real business problems are solved using EDA. In this cas
Compute the fair market value (FMV) of staking rewards at time of receipt.
tendermint-tax A tool to help calculate the tax liability of staking rewards on Tendermint chains. Specifically, this tool calculates the fair market
Key-Value база данных на Tarantool и REST API к ней.
KVmail Key-Value база данных на Tarantool и REST API к ней. Документация к API доступна здесь. Requiremrnts ubuntu 16.04+ python3.6+ supervisord nginx
Oh-My-PickleDB is an open source key-value store using Python's json module.
OH-MY-PICKLEDB oh-my-pickleDB is a lightweight, fast, and intuitive data manager written in python 📝 Table of Contents About Getting Started Deployme
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
A python mailserver meant for friends who value privacy and a hard to use interface....
python-mail A python mailserver meant for friends who value privacy and a hard to use interface.... Basic info This mailserver was just a random proje
MAVE: : A Product Dataset for Multi-source Attribute Value Extraction
MAVE: : A Product Dataset for Multi-source Attribute Value Extraction The dataset contains 3 million attribute-value annotations across 1257 unique ca
A Persistent Embedded Graph Database for Python
Cog - Embedded Graph Database for Python cogdb.io New release: 2.0.5! Installing Cog pip install cogdb Cog is a persistent embedded graph database im
Multidict is dict-like collection of key-value pairs where key might be occurred more than once in the container.
multidict Multidict is dict-like collection of key-value pairs where key might be occurred more than once in the container. Introduction HTTP Headers
Python-dotenv reads key-value pairs from a .env file and can set them as environment variables.
python-dotenv Python-dotenv reads key-value pairs from a .env file and can set them as environment variables. It helps in the development of applicati
Redis Python Client - The Python interface to the Redis key-value store.
redis-py The Python interface to the Redis key-value store. Installation | Contributing | Getting Started | Connecting To Redis Installation redis-py
A `Neural = Symbolic` framework for sound and complete weighted real-value logic
Logical Neural Networks LNNs are a novel Neuro = symbolic framework designed to seamlessly provide key properties of both neural nets (learning) and s
PyTorch implementation of Decoupling Value and Policy for Generalization in Reinforcement Learning
PyTorch implementation of Decoupling Value and Policy for Generalization in Reinforcement Learning
This is simply code for bitcoin fair value.
About The Project This is a code for bitcoin fair value, its simply exclude bubble data using RANSAC method, and then plot the results. Check youtube
Optimizing Value-at-Risk and Conditional Value-at-Risk of Black Box Functions with Lacing Values (LV)
BayesOpt-LV Optimizing Value-at-Risk and Conditional Value-at-Risk of Black Box Functions with Lacing Values (LV) About This repository contains the s
Computing Shapley values using VAEAC
Shapley values and the VAEAC method In this GitHub repository, we present the implementation of the VAEAC approach from our paper "Using Shapley Value
A set of scripts for a two-step procedure to measure the value of access to destinations across several modes of travel within a geographic area.
A set of scripts for a two-step procedure to measure the value of access to destinations across several modes of travel within a geographic area.
AWS Tags As A Database is a Python library using AWS Tags as a Key-Value database.
AWS Tags As A Database is a Python library using AWS Tags as a Key-Value database. This database is completely free* 💸
Maximal extractable value inspector for Ethereum, to illuminate the dark forest 🌲 💡
mev-inspect-py Maximal extractable value inspector for Ethereum, to illuminate the dark forest 🌲 💡 Given a block, mev-inspect finds: miner payments
vartests is a Python library to perform some statistic tests to evaluate Value at Risk (VaR) Models
vartests is a Python library to perform some statistic tests to evaluate Value at Risk (VaR) Models, such as: T-test: verify if mean of distribution i
Repo for paper "Dynamic Placement of Rapidly Deployable Mobile Sensor Robots Using Machine Learning and Expected Value of Information"
Repo for paper "Dynamic Placement of Rapidly Deployable Mobile Sensor Robots Using Machine Learning and Expected Value of Information" Notes I probabl
arxiv-sanity, but very lite, simply providing the core value proposition of the ability to tag arxiv papers of interest and have the program recommend similar papers.
arxiv-sanity, but very lite, simply providing the core value proposition of the ability to tag arxiv papers of interest and have the program recommend similar papers.
This is a package that allows you to create a key-value vault for storing variables in a global context
This is a package that allows you to create a key-value vault for storing variables in a global context. It allows you to set up a keyring with pre-defined constants which act as keys for the vault. These constants are then what is stored inside the vault. A key is just a string, but the value that the key is mapped to can be assigned to any type of object in Python. If the object is serializable (like a list or a dict), it can also be writen to a JSON file You can then use a decorator to annotate functions that you want to have use this vault to either store return variables in or to extract variables to be used as input for the function.
In this project, we are going to display the battery notification and the time left for the battery to drain out using the battery capacity value.
In this project, we are going to display the battery notification and the time left for the battery to drain out using the battery capacity value.
ACV is a python library that provides explanations for any machine learning model or data.
ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.
Python API wrapper library for Convex Value API
convex-value-python Python API wrapper library for Convex Value API. Further Links: Convex Value homepage @ConvexValue on Twitter JB on Twitter Authen
Repository for the paper "From global to local MDI variable importances for random forests and when they are Shapley values"
From global to local MDI variable importances for random forests and when they are Shapley values Antonio Sutera ([email protected]) Gilles Lou
Modify the value and status of the records KoboToolbox
Modify the value and status of the records KoboToolbox (Modica el valor y status de los registros de KoboToolbox)
This app finds duplicate to near duplicate images by generating a hash value for each image stored with a specialized data structure called VP-Tree which makes searching an image on a dataset of 100Ks almost instantanious
Offline Reverse Image Search Overview This app finds duplicate to near duplicate images by generating a hash value for each image stored with a specia
Fixes your Microphone Level to one specific value.
MicLeveler Fixes your Microphone Level to one specific value. Intention A friend of mine has the problem that some programs are setting his microphone
Random JSON Key:Pair Json Generator
Random JSON Key:Value Pair Generator This simple script take an engish dictionary of words and and makes random key value pairs. The dictionary has ap
Starter Code for VALUE benchmark
StarterCode for VALUE Benchmark This is the starter code for VALUE Benchmark [website], [paper]. This repository currently supports all baseline model
BasicRL: easy and fundamental codes for deep reinforcement learning。It is an improvement on rainbow-is-all-you-need and OpenAI Spinning Up.
BasicRL: easy and fundamental codes for deep reinforcement learning BasicRL is an improvement on rainbow-is-all-you-need and OpenAI Spinning Up. It is
A game theoretic approach to explain the output of any machine learning model.
SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allo
A python module for interacting with rolimon's, a roblox value site.
rpi - rolimon's python interaction rpi is an open source python-based rolimon's api wrapper. It provides an end-to-end pipeline in which each componen
Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)
VIN: Value Iteration Networks A quick thank you A few others have released amazing related work which helped inspire and improve my own implementation
PyTorch implementation of Value Iteration Networks (VIN): Clean, Simple and Modular. Visualization in Visdom.
VIN: Value Iteration Networks This is an implementation of Value Iteration Networks (VIN) in PyTorch to reproduce the results.(TensorFlow version) Key
PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper)
Value Iteration Networks in PyTorch Tamar, A., Wu, Y., Thomas, G., Levine, S., and Abbeel, P. Value Iteration Networks. Neural Information Processing
Learn how to responsibly deliver value with ML.
Made With ML Applied ML · MLOps · Production Join 30K+ developers in learning how to responsibly deliver value with ML. 🔥 Among the top MLOps reposit
emoji-math computes the given python expression and returns either the value or the nearest 5 emojis as measured by cosine similarity.
emoji-math computes the given python expression and returns either the value or the nearest 5 emojis as measured by cosine similarity.
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
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"
On the model-based stochastic value gradient for continuous reinforcement learning
On the model-based stochastic value gradient for continuous reinforcement learning This repository is by Brandon Amos, Samuel Stanton, Denis Yarats, a
This little tool is to calculate a MurmurHash value of a favicon to hunt phishing websites on the Shodan platform.
MurMurHash This little tool is to calculate a MurmurHash value of a favicon to hunt phishing websites on the Shodan platform. What is MurMurHash? Murm
Implementation of the paper "Shapley Explanation Networks"
Shapley Explanation Networks Implementation of the paper "Shapley Explanation Networks" at ICLR 2021. Note that this repo heavily uses the experimenta
Elara DB is an easy to use, lightweight NoSQL database that can also be used as a fast in-memory cache.
Elara DB is an easy to use, lightweight NoSQL database written for python that can also be used as a fast in-memory cache for JSON-serializable data. Includes various methods and features to manipulate data structures in-memory, protect database files and export data.
Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
Paddle-RLBooks Welcome to Paddle-RLBooks which is a reinforcement learning code study guide based on pure PaddlePaddle. 欢迎来到Paddle-RLBooks,该仓库主要是针对强化学
Segcache: a memory-efficient and scalable in-memory key-value cache for small objects
Segcache: a memory-efficient and scalable in-memory key-value cache for small objects This repo contains the code of Segcache described in the followi
Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.
DiskCache is an Apache2 licensed disk and file backed cache library, written in pure-Python, and compatible with Django.
Using Hotel Data to predict High Value And Potential VIP Guests
Description Using hotel data and AI to predict high value guests and potential VIP guests. Hotel can leverage on prediction resutls to run more effect
An introduction of Markov decision process (MDP) and two algorithms that solve MDPs (value iteration, policy iteration) along with their Python implementations.
Markov Decision Process A Markov decision process (MDP), by definition, is a sequential decision problem for a fully observable, stochastic environmen
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technol
Functional TensorFlow Implementation of Singular Value Decomposition for paper Fast Graph Learning
tf-fsvd TensorFlow Implementation of Functional Singular Value Decomposition for paper Fast Graph Learning with Unique Optimal Solutions Cite If you f
A game theoretic approach to explain the output of any machine learning model.
SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allo
A data-driven approach to quantify the value of classifiers in a machine learning ensemble.
Documentation | External Resources | Research Paper Shapley is a Python library for evaluating binary classifiers in a machine learning ensemble. The
A Burp extension adding a passive scan check to flag parameters whose name or value may indicate a possible insertion point for SSRF or LFI.
BurpParamFlagger A Burp extension adding a passive scan check to flag parameters whose name or value may indicate a possible insertion point for SSRF
This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.
This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.
A data-driven approach to quantify the value of classifiers in a machine learning ensemble.
Documentation | External Resources | Research Paper Shapley is a Python library for evaluating binary classifiers in a machine learning ensemble. The
pickleDB is an open source key-value store using Python's json module.
pickleDB pickleDB is lightweight, fast, and simple database based on the json module. And it's BSD licensed! pickleDB is Fun import pickledb