87 Repositories
Python ieeextreme-problems Libraries
FAST Aiming at the problems of cumbersome steps and slow download speed of GNSS data
FAST Aiming at the problems of cumbersome steps and slow download speed of GNSS data, a relatively complete set of integrated multi-source data download terminal software fast is developed. The software contains most of the data sources required in the process of GNSS scientific research and learning. The way of parallel download greatly improves the efficiency of download.
🏃 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
It's a simple script to generate a mush on code forces, the script will accept the public problem urls only or polygon problems.
Codeforces-Sheet-Generator It's a simple script to generate a mushup on code forces, the script will accept the public problem urls only or polygon pr
🏃 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
Linear algebra python - Number of operations and problems in Linear Algebra and Numerical Linear Algebra
Linear algebra in python Number of operations and problems in Linear Algebra and
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
This repository contnains sample problems with test cases using Cormen-Lib
Cormen Lib Sample Problems Description This repository contnains sample problems with test cases using Cormen-Lib. These problems were made for the pu
AI Games and its programming solution with Python.
Problem: Save the princess: Problem defination on Hackerrank: https://www.hackerrank.com/challenges/saveprincess About problem: Princess Peach is trap
Posterior temperature optimized Bayesian models for inverse problems in medical imaging
Posterior temperature optimized Bayesian models for inverse problems in medical imaging Max-Heinrich Laves*, Malte Tölle*, Alexander Schlaefer, Sandy
FLIght SCheduling OPTimization - a simple optimization library for flight scheduling and related problems in the discrete domain
Fliscopt FLIght SCheduling OPTimization 🛫 or fliscopt is a simple optimization library for flight scheduling and related problems in the discrete dom
PATC: Introduction to Big Data Analytics. Practical Data Analytics for Solving Real World Problems
PATC: Introduction to Big Data Analytics. Practical Data Analytics for Solving Real World Problems
In the AI for TSP competition we try to solve optimization problems using machine learning.
AI for TSP Competition Goal In the AI for TSP competition we try to solve optimization problems using machine learning. The competition will be hosted
Leveraging OpenAI's Codex to solve cornerstone problems in Music
Music-Codex Leveraging OpenAI's Codex to solve cornerstone problems in Music Please NOTE: Presented generated samples were created by OpenAI's Codex P
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.
Qcover is an open source effort to help exploring combinatorial optimization problems in Noisy Intermediate-scale Quantum(NISQ) processor.
Qcover is an open source effort to help exploring combinatorial optimization problems in Noisy Intermediate-scale Quantum(NISQ) processor. It is devel
OGE-2022-na-Python - Solving problems in python for the OGE 2022
OGE-2022-na-Python Решение задачек на питоне для ОГЭ 2022 Тут разобраны разные в
PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
PEPit: Performance Estimation in Python This open source Python library provides a generic way to use PEP framework in Python. Performance estimation
An awesome Data Science repository to learn and apply for real world problems.
AWESOME DATA SCIENCE An open source Data Science repository to learn and apply towards solving real world problems. This is a shortcut path to start s
The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
Break The Ice With Python A journey of 100+ simple yet interesting problems which are explained, solved, discussed in different pythonic ways Introduc
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 Tensorflow 2.0
NLP-Models-Tensorflow, Gathers machine learning and tensorflow deep learning models for NLP problems, code simplify inside Jupyter Notebooks 100%. Tab
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
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Customer Service Requests Analysis is one of the practical life problems that an analyst may face. This Project is one such take. The project is a beginner to intermediate level project. This repository has a Source Code, README file, Dataset, Image and License file.
Customer Service Requests Analysis Project 1 DESCRIPTION Background of Problem Statement : NYC 311's mission is to provide the public with quick and e
BigDL - Evaluate the performance of BigDL (Distributed Deep Learning on Apache Spark) in big data analysis problems
Evaluate the performance of BigDL (Distributed Deep Learning on Apache Spark) in big data analysis problems.
Technical Answers to Real-World Problems. Evolution of Watering Manually to Watering Automatically.
Automatic Watering System using Soil Moisture Sensor and RTC Timer with Arduino Technical Answers to Real-World Problems Know the plant, Grow the plan
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
A2LP for short, ECCV2020 spotlight, Investigating SSL principles for UDA problems
Label-Propagation-with-Augmented-Anchors (A2LP) Official codes of the ECCV2020 spotlight (label propagation with augmented anchors: a simple semi-supe
A collection of resources, problems, explanations and concepts that are/were important during my Data Science journey
Data Science Gurukul List of resources, interview questions, concepts I use for my Data Science work. Topics: Basics of Programming with Python + Unde
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
Utilize data analytics skills to solve real-world business problems using Humana’s big data
Humana-Mays-2021-HealthCare-Analytics-Case-Competition- The goal of the project is to utilize data analytics skills to solve real-world business probl
This repository contain code on Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems.
This repository contain code on Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems. The main directory include the code
A hackerank problems, solution repository
This is a repository for all hackerank challenges kindly note this is for learning purposes and if you wish to contribute, dont hesitate all submision
Simulation and Parameter Estimation in Geophysics
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
Automates the fixing of problems reported by yamllint by parsing its output
yamlfixer yamlfixer automates the fixing of problems reported by yamllint by parsing its output. Usage This software automatically fixes some errors a
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
WebDataset WebDataset is a PyTorch Dataset (IterableDataset) implementation providing efficient access to datasets stored in POSIX tar archives and us
Pretrained Cost Model for Distributed Constraint Optimization Problems
Pretrained Cost Model for Distributed Constraint Optimization Problems Requirements PyTorch 1.9.0 PyTorch Geometric 1.7.1 Directory structure baseline
A collection of convenient parsers for Advent of Code problems.
Advent of Code Parsers A collection of convenient Python parsers for Advent of Code problems. Installation pip install aocp Quickstart You can import
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
Solve automatic numerical differentiation problems in one or more variables.
numdifftools The numdifftools library is a suite of tools written in _Python to solve automatic numerical differentiation problems in one or more vari
An implementation of the AdaOPS (Adaptive Online Packing-based Search), which is an online POMDP Solver used to solve problems defined with the POMDPs.jl generative interface.
AdaOPS An implementation of the AdaOPS (Adaptive Online Packing-guided Search), which is an online POMDP Solver used to solve problems defined with th
A pandas extension that solves all problems of Jalai/Iraninan/Shamsi dates
Jalali Pandas Extentsion A pandas extension that solves all problems of Jalai/Iraninan/Shamsi dates Features Series Extenstion Convert string to Jalal
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
This thesis is mainly concerned with state-space methods for a class of deep Gaussian process (DGP) regression problems
Doctoral dissertation of Zheng Zhao This thesis is mainly concerned with state-space methods for a class of deep Gaussian process (DGP) regression pro
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Score-Based Generative Modeling through Stochastic Differential Equations This repo contains a PyTorch implementation for the paper Score-Based Genera
CBLang is a programming language aiming to fix most of my problems with Python
CBLang A bad programming language made in Python. CBLang is a programming language aiming to fix most of my problems with Python (this means that you
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
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
The Fundamental Clustering Problems Suite (FCPS) summaries 54 state-of-the-art clustering algorithms, common cluster challenges and estimations of the number of clusters as well as the testing for cluster tendency.
FCPS Fundamental Clustering Problems Suite The package provides over sixty state-of-the-art clustering algorithms for unsupervised machine learning pu
Julia and Matlab codes to simulated all problems in El-Hachem, McCue and Simpson (2021)
Substrate_Mediated_Invasion Julia and Matlab codes to simulated all problems in El-Hachem, McCue and Simpson (2021) 2DSolver.jl reproduces the simulat
slim-python is a package to learn customized scoring systems for decision-making problems.
slim-python is a package to learn customized scoring systems for decision-making problems. These are simple decision aids that let users make yes-no p
CVXPY is a Python-embedded modeling language for convex optimization problems.
CVXPY The CVXPY documentation is at cvxpy.org. We are building a CVXPY community on Discord. Join the conversation! For issues and long-form discussio
Python code for solving 3D structural problems using the finite element method
3DFEM Python 3D finite element code This python code allows for solving 3D structural problems using the finite element method. New features will be a
Fermi Problems: A New Reasoning Challenge for AI
Fermi Problems: A New Reasoning Challenge for AI Fermi Problems are questions whose answer is a number that can only be reasonably estimated as a prec
A flexible ML framework built to simplify medical image reconstruction and analysis experimentation.
meddlr Getting Started Meddlr is a config-driven ML framework built to simplify medical image reconstruction and analysis problems. Installation To av
Access LeetCode problems via id
LCid - access LeetCode problems via id Introduction As a world's leading online programming learning platform, LeetCode is quite popular among program
Some problems of SSLC ( High School ) before outputs and after outputs
Some problems of SSLC ( High School ) before outputs and after outputs 1] A Python program and its output (output1) while running the program is given
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
Official code for the paper Inverse Problems Leveraging Pre-trained Contrastive Representations.
The official code for the paper "Inverse Problems Leveraging Pre-trained Contrastive Representations" (to appear in NeurIPS 2021).
Implementation of the paper "Generating Symbolic Reasoning Problems with Transformer GANs"
Generating Symbolic Reasoning Problems with Transformer GANs This is the implementation of the paper Generating Symbolic Reasoning Problems with Trans
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
A raw implementation of the nearest insertion algorithm to resolve TSP problems in a TXT format.
TSP-Nearest-Insertion A raw implementation of the nearest insertion algorithm to resolve TSP problems in a TXT format. Instructions Load a txt file wi
Nature-inspired algorithms are a very popular tool for solving optimization problems.
Nature-inspired algorithms are a very popular tool for solving optimization problems. Numerous variants of nature-inspired algorithms have been develo
Code for the paper "Multi-task problems are not multi-objective"
Multi-Task problems are not multi-objective This is the code for the paper "Multi-Task problems are not multi-objective" in which we show that the com
Source Code for Simulations in the Publication "Can the brain use waves to solve planning problems?"
Code for Simulations in the Publication Can the brain use waves to solve planning problems? Installing Required Python Packages Please use Python vers
My solutions to the competitive programming problems on LeetCode, USACO, LintCode, etc.
This repository holds my solutions to the competitive programming problems on LeetCode, USACO, LintCode, CCC, UVa, SPOJ, and Codeforces. The LeetCode
Reimplementation of the paper "Attention, Learn to Solve Routing Problems!" in jax/flax.
JAX + Attention Learn To Solve Routing Problems Reinplementation of the paper Attention, Learn to Solve Routing Problems! using Jax and Flax. Fully su
OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.
OptaPy is an AI constraint solver for Python to optimize the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization, Conference Scheduling, Job Shop Scheduling, Bin Packing and many more planning problems.
SNIPS: Solving Noisy Inverse Problems Stochastically
SNIPS: Solving Noisy Inverse Problems Stochastically This repo contains the official implementation for the paper SNIPS: Solving Noisy Inverse Problem
SCICO is a Python package for solving the inverse problems that arise in scientific imaging applications.
Scientific Computational Imaging COde (SCICO) SCICO is a Python package for solving the inverse problems that arise in scientific imaging applications
🏃 Python Solutions of All Problems in FHC 2021 (In Progress)
FacebookHackerCup-2021 Python solutions of Facebook Hacker Cup 2021. Solution begins with * means it will get TLE in the largest data set (total compu
Python solutions to Codeforces problems
CodeForces This repository is dedicated to my Python solutions for CodeForces problems. Feel free to copy, contribute and/or comment. If you find any
Solves Maths24 problems for you!
maths24-solver Solves Maths24 problems for you! Enjoy this open scource project! You can edit modify and share! My wishes is for you to use this proje
By default, networkx has problems with drawing self-loops in graphs.
By default, networkx has problems with drawing self-loops in graphs. It makes it hard to draw a graph with self-loops or to make a nicely looking chord diagram. This repository provides some code to draw self-loops nicely
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
IDRLnet IDRLnet is a machine learning library on top of PyTorch. Use IDRLnet if you need a machine learning library that solves both forward and inver
Pyomo is an object-oriented algebraic modeling language in Python for structured optimization problems.
Pyomo is a Python-based open-source software package that supports a diverse set of optimization capabilities for formulating and analyzing optimization models. Pyomo can be used to define symbolic problems, create concrete problem instances, and solve these instances with standard solvers.
Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"
Easy-To-Hard The official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks". Gett
List of short Codeforces problems with a statement of 1000 characters or less. Python script and data files included.
Shortest problems on Codeforces List of Codeforces problems with a short problem statement of 1000 characters or less. Sorted for each rating level. B
This is 2nd term discrete maths project done by UCU students that uses backtracking to solve various problems.
Backtracking Project Sponsors This is a project made by UCU students: Olha Liuba - crossword solver implementation Hanna Yershova - sudoku solver impl
Code for Graph-to-Tree Learning for Solving Math Word Problems (ACL 2020)
Graph-to-Tree Learning for Solving Math Word Problems PyTorch implementation of Graph based Math Word Problem solver described in our ACL 2020 paper G
Competitive Programming Club, Clinify's Official repository for CP problems hosting by club members.
Clinify-CPC_Programs This repository holds the record of the competitive programming club where the competitive coding aspirants are thriving hard and
Disagreement-Regularized Imitation Learning
Due to a normalization bug the expert trajectories have lower performance than the rl_baseline_zoo reported experts. Please see the following link in
A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.
Reinforcement Learning (PyTorch) 🤖 + 🍰 = ❤️ This repo will contain PyTorch implementation of various fundamental RL algorithms. It's aimed at making
Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
celer Fast algorithm to solve Lasso-like problems with dual extrapolation. Currently, the package handles the following problems: Lasso weighted Lasso
200 LeetCode problems
LeetCode I classify 200 leetcode problems into some categories and upload my code to who concern WEEK 1 # Title Difficulty Array 15 3Sum Medium 1324 P
mrcal is a generic toolkit to solve calibration and SFM-like problems originating at NASA/JPL
mrcal is a generic toolkit to solve calibration and SFM-like problems originating at NASA/JPL. Functionality related to these problems is exposed as a set of C and Python libraries and some commandline tools.
A plugin for Flake8 finding likely bugs and design problems in your program. Contains warnings that don't belong in pyflakes and pycodestyle.
flake8-bugbear A plugin for Flake8 finding likely bugs and design problems in your program. Contains warnings that don't belong in pyflakes and pycode
Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.
Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning Installation