135 Repositories
Python pareto-optimal-solutions Libraries
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
The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.
Generative Modeling with Optimal Transport Maps The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal
Seamless deployment and management of cybersecurity solutions 🏗️
Description 🖼️ Background 👴🏼 Vision 📜 Concepts 💬 Solutions' Lifecycle. Operations ⭕ Functionalities 🚀 Supported Cybersecurity Solutions 📦 Insta
🏃 Python3 Solutions of All Problems in GCJ 2022 (In Progress)
GoogleCodeJam 2022 Python3 solutions of Google Code Jam 2022. Solution begins with * means it will get TLE in the largest data set. Total computation
🏃 Python3 Solutions of All Problems in GKS 2022 (In Progress)
GoogleKickStart 2022 Python3 solutions of Google Kick Start 2022. Solution begins with * means it will get TLE in the largest data set. Total computat
Multiple-criteria decision-making (MCDM) with Electre, Promethee, Weighted Sum and Pareto
EasyMCDM - Quick Installation methods Install with PyPI Once you have created your Python environment (Python 3.6+) you can simply type: pip3 install
QHack-2022 - Solutions to the Coding Challenges of QHack 2022
QHack 2022 Problems from Coding Challenges 2022. Rules and how it works To test
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation In this repo you can find the code of the Supervised Hybrid Audio Segmentatio
Open-Source board for converting RaspberryPI to Brain-computer interface
The easiest way to the neuroscience world with the shield for RaspberryPi - PIEEG (website). Open-source. Crowdsupply This project is the result of se
Implementations of the algorithms in the paper Approximative Algorithms for Multi-Marginal Optimal Transport and Free-Support Wasserstein Barycenters
Implementations of the algorithms in the paper Approximative Algorithms for Multi-Marginal Optimal Transport and Free-Support Wasserstein Barycenters
Python package for concise, transparent, and accurate predictive modeling
Python package for concise, transparent, and accurate predictive modeling. All sklearn-compatible and easy to use. 📚 docs • 📖 demo notebooks Modern
API that provides Wordle (ES) solutions in JSON format
Wordle (ES) solutions API that provides Wordle (ES) solutions in JSON format.
Wordle-player - An optimal player for Wordle. Based on a rough understanding of information theory
Wordle-player - An optimal player for Wordle. Based on a rough understanding of information theory
Optimal Transport Tools (OTT), A toolbox for all things Wasserstein.
Optimal Transport Tools (OTT), A toolbox for all things Wasserstein. See full documentation for detailed info on the toolbox. The goal of OTT is to pr
World Happiness Report is a publication of the Sustainable Development Solutions Network
World-Happiness-Report We are going to visualise what are the factors and which
This Open-Source project is great for sensor capture and storage solutions.
Phase 1 This project helps developers in the creation of extended realities that communicate with Arduino and require the security of blockchain stora
My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs (GNN, GAT, GraphSAGE, GCN)
machine-learning-with-graphs My solutions for Stanford University course CS224W: Machine Learning with Graphs Fall 2021 colabs Course materials can be
Near-Optimal Sparse Allreduce for Distributed Deep Learning (published in PPoPP'22)
Near-Optimal Sparse Allreduce for Distributed Deep Learning (published in PPoPP'22) Ok-Topk is a scheme for distributed training with sparse gradients
Low Complexity Channel estimation with Neural Network Solutions
Interpolation-ResNet Invited paper for WSA 2021, called 'Low Complexity Channel estimation with Neural Network Solutions'. Low complexity residual con
Analyzing Earth Observation (EO) data is complex and solutions often require custom tailored algorithms.
eo-grow Earth observation framework for scaled-up processing in Python. Analyzing Earth Observation (EO) data is complex and solutions often require c
Instantaneous Motion Generation for Robots and Machines.
Ruckig Instantaneous Motion Generation for Robots and Machines. Ruckig generates trajectories on-the-fly, allowing robots and machines to react instan
This is a repository for a task assigned to me by Bilateral solutions!
Processing-Files-using-MySQL This is a repository for a task assigned to me by Bilateral solutions! Task: Make Folders named Processing,queue and proc
Reading Group @mila-iqia on Computational Optimal Transport for Machine Learning Applications
Computational Optimal Transport for Machine Learning Reading Group Over the last few years, optimal transport (OT) has quickly become a central topic
Supply Chain will be a SAAS platfom to provide e-logistic facilites with most optimal
Shipp It Welcome To Supply Chain App [ Shipp It ] In "Shipp It" we are creating a full solution[web+app] for a entire supply chain from receiving orde
All Assignments , Test , Quizzes and Exams with solutions from NIT Patna B.Tech CSE 5th Semester.
A 🌟 to repo would be delightful, just do it ✔️ it is inexpensive. All Assignments , Quizzes and Exam papers at one place with clean and elegant solut
CoderByte | Practice, Tutorials & Interview Preparation Solutions|
CoderByte | Practice, Tutorials & Interview Preparation Solutions This repository consists of solutions to CoderByte practice, tutorials, and intervie
Solutions to the language assignment for Internship in JALA Technologies.
Python Assignment Solutions (JALA Technologies) Solutions to the language assignment for Internship in JALA Technologies. Features Properly formatted
An algorithm that can solve the word puzzle Wordle with an optimal number of guesses on HARD mode.
WordleSolver An algorithm that can solve the word puzzle Wordle with an optimal number of guesses on HARD mode. How to use the program Copy this proje
Monitoring plugin to check disk io with Icinga, Nagios and other compatible monitoring solutions
check_disk_io - Monitor disk io This is a monitoring plugin for Icinga, Nagios and other compatible monitoring solutions to check the disk io. It uses
100 numpy exercises (with solutions)
100 numpy exercises This is a collection of numpy exercises from numpy mailing list, stack overflow, and numpy documentation. I've also created some p
Monitoring plugin to check network interfaces with Icinga, Nagios and other compatible monitoring solutions
check_network_interface - Monitor network interfaces This is a monitoring plugin for Icinga, Nagios and other compatible monitoring solutions to check
Implementation for Homogeneous Unbalanced Regularized Optimal Transport
HUROT: An Homogeneous formulation of Unbalanced Regularized Optimal Transport. This repository provides code related to this preprint. This is an alph
Logistic Bandit experiments. Official code for the paper "Jointly Efficient and Optimal Algorithms for Logistic Bandits".
Code for the paper Jointly Efficient and Optimal Algorithms for Logistic Bandits, by Louis Faury, Marc Abeille, Clément Calauzènes and Kwang-Sun Jun.
This package implements the algorithms introduced in Smucler, Sapienza, and Rotnitzky (2020) to compute optimal adjustment sets in causal graphical models.
optimaladj: A library for computing optimal adjustment sets in causal graphical models This package implements the algorithms introduced in Smucler, S
Optimal Camera Position for a Practical Application of Gaze Estimation on Edge Devices,
Optimal Camera Position for a Practical Application of Gaze Estimation on Edge Devices, Linh Van Ma, Tin Trung Tran, Moongu Jeon, ICAIIC 2022 (The 4th
In this repository you will find the test carried out to enter, as a python developer, the company Keeper Solutions.
Bookmarks In this repository you will find the test carried out to enter, as a python developer, the company Keeper Solutions. First it is necessary t
An optimal solution finder for the game Wordle, written in Python
wordle-solver: a nearly-optimal computer player for Wordle Wordle is an interesting word guessing game. This program plays it very well, taking only 3
Possible solutions to Wordscapes, a mobile game for the android operating system, downloadable from the play store
Possible solutions to Wordscapes, a mobile game for the android operating system, downloadable from the play store
Solutions for leetcode problems.
Leetcode-solution This is an repository for storring new algorithms that I am learning form the LeetCode for future use. Implemetations Two Sum (pytho
My solution to the book A Collection of Data Science Take-Home Challenges
DS-Take-Home Solution to the book "A Collection of Data Science Take-Home Challenges". Note: Please don't contact me for the dataset. This repository
Python algorithm to determine the optimal elevation threshold of a GNSS receiver, by using a statistical test known as the Brown-Forsynthe test.
Levene and Brown-Forsynthe: Test for variances Application to Global Navigation Satellite Systems (GNSS) Python algorithm to determine the optimal ele
The official implementation of paper "Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks" (IJCV under review).
DGMS This is the code of the paper "Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks". Installation Our code works with Pytho
This is a short GUI project to evaluate Pbk solution.
Polubarinova-Kochina-solutions (Standalone GUI executables for Windows and Mac) Oden Institute for Computational Engineering and Sciences / Jackson Sc
SpellingBeeSolver - This program generates solutions to NYT style spelling bee problems.
SpellingBeeSolver This program generates solutions to NYT style spelling bee problems. The initial version of this program is being written in Python
This repository is a series of notebooks that show solutions for the projects at Dataquest.io.
Dataquest Project Solutions This repository is a series of notebooks that show solutions for the projects at Dataquest.io. Of course, there are always
Technical_indicators_cryptos - Using technical indicators to find optimal trading strategies to deploy onto trading bot.
technical_indicators_cryptos Using technical indicators to find optimal trading strategies to deploy onto trading bot. In the Jup Notebook you wil
Code for "Retrieving Black-box Optimal Images from External Databases" (WSDM 2022)
Retrieving Black-box Optimal Images from External Databases (WSDM 2022) We propose how a user retreives an optimal image from external databases of we
A Python library for common tasks on 3D point clouds
Point Cloud Utils (pcu) - A Python library for common tasks on 3D point clouds Point Cloud Utils (pcu) is a utility library providing the following fu
All solutions for the 2021 Advent of Code event.
Advent of Code 2021 Solutions All solutions for the 2021 Advent of Code event. Setup Create a file called .session. Go to adventofcode.com and copy th
Visualizations of some specific solutions of different differential equations.
Diff_sims Visualizations of some specific solutions of different differential equations. Heat Equation in 1 Dimension (A very beautiful and elegant ex
Decided to include my solutions for leetcode problems.
LeetCode_Solutions Decided to include my solutions for leetcode problems. LeetCode # 1 TwoSum First leetcode problem and it was kind of a struggle. Th
A python package that computes an optimal motion plan for approaching a red light
redlight_approach redlight_approach is a Python package that computes an optimal motion plan during traffic light approach. RLA_demo.mov Given the par
Solutions for the Advent of Code 2021 event.
About 📋 This repository holds all of the solution code for the Advent of Code 2021 event. All solutions are done in Python 3.9.9 and done in non-real
A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation.
Continuous Wasserstein-2 Benchmark This is the official Python implementation of the NeurIPS 2021 paper Do Neural Optimal Transport Solvers Work? A Co
This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described in the paper.
Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation This repository contains PyTorch evaluation code, trainin
Repository for the paper "Optimal Subarchitecture Extraction for BERT"
Bort Companion code for the paper "Optimal Subarchitecture Extraction for BERT." Bort is an optimal subset of architectural parameters for the BERT ar
My solutions for the 2021's Advent of Code
Advent of Code 2021 My solutions for Advent of Code 2021. This year I am practicing Python 🐍 and also trying to develop my own language, Chocolate 🍫
Find all solutions to SUBSET-SUM, including negative, positive, and repeating numbers
subsetsum The subsetsum Python module can enumerate all combinations within a list of integers which sums to a specific value. It works for both negat
Jack Morgan's Advent of Code Solutions
Advent-of-Code Jack Morgan's Advent of Code Solutions Usage Run . initiate.sh year day To initiate a day. This sets up a template python file, and pul
My solutions to the Advent of Code 2021 problems in Go and Python 🎄
🎄 Advent of Code 2021 🎄 Summary Advent of Code is an annual Advent calendar of programming puzzles. This year I am doing it in Go and Python. Runnin
My solutions to Advent of Code 2021 (written in Python)
Advent of Code 2021 This repository contains my solutions for the 2021 edition of Advent of Code. Please do not expect perfectly polished solutions, m
AdventOfCode 2021 solutions from the Devcord server
adventofcode-21 Ein Sammel-Repository für Advent of Code 2021-Lösungen der deutschen DevCord-Community. A repository collecting Advent of Code 2021 so
Implementation of Pooling by Sliced-Wasserstein Embedding (NeurIPS 2021)
PSWE: Pooling by Sliced-Wasserstein Embedding (NeurIPS 2021) PSWE is a permutation-invariant feature aggregation/pooling method based on sliced-Wasser
Python library for the eWarehousing Solutions API.
eWarehousing Solutions Python Library This library provides convenient access to the eWarehousing Solutions API from applications written in the Pytho
My solutions for Advent of Code 2021 🌟🎄
🌟 Advent of Code 2021 🎄 My solutions for Advent of Code 2021. About · What is Advent of Code? · Contents · Usage · Table of puzzles (TODO: add final
Solutions and questions for AoC2021. Merry christmas!
Advent of Code 2021 Merry christmas! 🎄 🎅 To get solutions and approximate execution times for implementations, please execute the run.py script in t
Implement the Pareto Optimizer and pcgrad to make a self-adaptive loss for multi-task
multi-task_losses_optimizer Implement the Pareto Optimizer and pcgrad to make a self-adaptive loss for multi-task 已经实验过了,不会有cuda out of memory情况 ##Par
"Cambio de monedas" Change-making problem with Python, dynamic programming best solutions,
Change-making-problem / Cambio de monedas Entendiendo el problema Dada una cantidad de dinero y una lista de denominaciones de monedas, encontrar el n
Simple AoC helper program you can use to develop your own solutions in python.
AoC-Compabion Simple AoC helper program you can use to develop your own solutions in python. Simply install it in your python environment using pip fr
These are my solutions to Advent of Code problems.
Advent of Code These are my solutions to Advent of Code problems. If you want to join my leaderboard, the code is 540750-9589f56d. When I solve for sp
BinTuner is a cost-efficient auto-tuning framework, which can deliver a near-optimal binary code that reveals much more differences than -Ox settings.
BinTuner is a cost-efficient auto-tuning framework, which can deliver a near-optimal binary code that reveals much more differences than -Ox settings. it also can assist the binary code analysis research in generating more diversified datasets for training and testing. The BinTuner framework is based on OpenTuner, thanks to all contributors for their contributions.
Benchmarks for the Optimal Power Flow Problem
Power Grid Lib - Optimal Power Flow This benchmark library is curated and maintained by the IEEE PES Task Force on Benchmarks for Validation of Emergi
Universal Probability Distributions with Optimal Transport and Convex Optimization
Sylvester normalizing flows for variational inference Pytorch implementation of Sylvester normalizing flows, based on our paper: Sylvester normalizing
Optimal skincare partition finder using graph theory
Pigment The problem of partitioning up a skincare regime into parts such that each part does not interfere with itself is equivalent to the minimal cl
Python solutions to solve practical business problems.
Python Business Analytics Also instead of "watching" you can join the link-letter, it's already being sent out to about 90 people and you are free to
Optimal Randomized Canonical Correlation Analysis
ORCCA Optimal Randomized Canonical Correlation Analysis This project is for the python version of ORCCA algorithm. It depends on Numpy for matrix calc
Here You will Find CodeChef Challenge Solutions
Here You will Find CodeChef Challenge Solutions
This Repository consists of my solutions in Python 3 to various problems in Data Structures and Algorithms
Problems and it's solutions. Problem solving, a great Speed comes with a good Accuracy. The more Accurate you can write code, the more Speed you will
A tool to determine optimal projects for Gridcoin crunchers. Maximize your magnitude!
FindTheMag FindTheMag helps optimize your BOINC client for Gridcoin mining. You can group BOINC projects into two groups: "preferred" projects and "mi
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Kalman and Bayesian Filters in Python Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written
The official implementation of NeurIPS 2021 paper: Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks
Introduction This repository includes the source code for "Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks", which is pu
Optimal space decomposition based-product quantization for approximate nearest neighbor search
Optimal space decomposition based-product quantization for approximate nearest neighbor search Abstract Product quantization(PQ) is an effective neare
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
A hands-off Anomaly Detection Library Table of contents What is Luminaire Quick Start Time Series Outlier Detection Workflow Anomaly Detection for Hig
A paper using optimal transport to solve the graph matching problem.
GOAT A paper using optimal transport to solve the graph matching problem. https://arxiv.org/abs/2111.05366 Repo structure .github: Files specifying ho
The official implementation of NeurIPS 2021 paper: Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks
The official implementation of NeurIPS 2021 paper: Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks
Official implementation of NLOS-OT: Passive Non-Line-of-Sight Imaging Using Optimal Transport (IEEE TIP, accepted)
NLOS-OT Official implementation of NLOS-OT: Passive Non-Line-of-Sight Imaging Using Optimal Transport (IEEE TIP, accepted) Description In this reposit
SparseLasso: Sparse Solutions for the Lasso
SparseLasso: Sparse Solutions for the Lasso Introduction SparseLasso provides a Scikit-Learn based estimation of the Lasso with cross-validation tunin
A tool to analyze leveraged liquidity mining and find optimal option combination for hedging.
LP-Option-Hedging Description A Python program to analyze leveraged liquidity farming/mining and find the optimal option combination for hedging imper
A Simulated Optimal Intrusion Response Game
Optimal Intrusion Response An OpenAI Gym interface to a MDP/Markov Game model for optimal intrusion response of a realistic infrastructure simulated u
code for Fast Point Cloud Registration with Optimal Transport
robot This is the repository for the paper "Accurate Point Cloud Registration with Robust Optimal Transport". We are in the process of refactoring the
Developed an optimized algorithm which finds the most optimal path between 2 points in a 3D Maze using various AI search techniques like BFS, DFS, UCS, Greedy BFS and A*
Developed an optimized algorithm which finds the most optimal path between 2 points in a 3D Maze using various AI search techniques like BFS, DFS, UCS, Greedy BFS and A*. The algorithm was extremely optimal running in ~15s to ~30s for search spaces as big as 10000000 nodes where a set of 18 actions could be performed at each node in the 3D Maze.
LAMDA: Label Matching Deep Domain Adaptation
LAMDA: Label Matching Deep Domain Adaptation This is the implementation of the paper LAMDA: Label Matching Deep Domain Adaptation which has been accep
PyTorch framework A simple and complete framework for PyTorch, providing a variety of data loading and simple task solutions that are easy to extend and migrate
PyTorch framework A simple and complete framework for PyTorch, providing a variety of data loading and simple task solutions that are easy to extend and migrate
Towards the D-Optimal Online Experiment Design for Recommender Selection (KDD 2021)
Towards the D-Optimal Online Experiment Design for Recommender Selection (KDD 2021) Contact [email protected] or [email protected] for questions
Solutions to all 6 programming assignments in Dan Boneh's course Cryptography I, in statically typed Python.
Solutions to Cryptography I programming exercises Dan Boneh from Stanford University has an excellent online course on cryptography, hosted on Courser
IEEEXtreme15.0 Questions And Answers
IEEEXtreme15.0 Questions And Answers IEEEXtreme is a global challenge in which teams of IEEE Student members – advised and proctored by an IEEE member
Optimal Adaptive Allocation using Deep Reinforcement Learning in a Dose-Response Study
Optimal Adaptive Allocation using Deep Reinforcement Learning in a Dose-Response Study Supplementary Materials for Kentaro Matsuura, Junya Honda, Imad
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System This repository contains code for the paper Schultheis,
Google Landmark Recogntion and Retrieval 2021 Solutions
Google Landmark Recogntion and Retrieval 2021 Solutions In this repository you can find solution and code for Google Landmark Recognition 2021 and Goo
A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, color transfer, and gradient flow.
BoMb-OT Python3 implementation of the papers On Transportation of Mini-batches: A Hierarchical Approach and Improving Mini-batch Optimal Transport via