1,603 skills found · Page 19 of 54
AliAmini93 / Data Distribution FinderDeveloped a Windows-based app for analyzing data distributions and identifying the best-fitted distribution using the Maximum Likelihood Estimation algorithm. The app features histogram analysis, error ranking, and allows users to directly save results along with distribution charts.
ramzykemmoun / SmartWebAI Toolbox: A collection of AI-powered tools for various tasks, including image content detection, face detection, sentiment analysis, language detection, BMI calculation, and text-to-speech conversion. Simplify your daily tasks with advanced deep learning and machine learning algorithms
BlockchainLabs / KryptonEthereum has brought us tools like Smart Contract, Dapp and DAO creation, deployment, and management. We can easily pay someone without ever hitting the send button, access decentralized applications that cannot be censored or shut down and we can be part of Decentralized Autonomous Organizations. Mistakes were made, bugs were found, and recently, millions were lost. Some are calling The DAO hack the most expensive bug bounty ever held, but whoever said this certainly didn’t have his Ether invested in The DAO, as the situation regarding the seizure of the stolen funds doesn’t seem to be improving. The DAO happened, it failed, all we can do now is move on and learn from our mistakes. The problem is that if we keep learning from $50m errors, we’ll be the wisest and poorest people on the planet. That’s why it’s good to have training wheels sometimes. Ethereum is the perfect playground for skilled developers, but with its 700% value increase since creation, it has made Solidity, one of the programming languages in Ethereum, a very expensive toy. That’s why Krypton has launched an open invitation to all developers to poke around the Krypton blockchain and see what it has to offer. Krypton (KR) is an Ethereum-based cryptocurrency that allows users all the same features and perks (Smart Contracts, Dapps, DAOs, DACs) but for a lower “price.” Ethereum transaction fees, which are known as “Gas” are spent according to computational costs, which means that the higher the price of Ether, the higher those costs will be. covertress, the Krypton founder, and project manager said: We’ve contacted several faculties at major universities and invited them to use the KR chain for this purpose. All of this means that developers have a testbed for smart contracts and Dapps, which are less expensive to deploy in the KR blockchain, before moving on to a more mainstream environment like Ethereum. Krypton can now be considered as a “gateway” into Ethereum. The team isn’t planning to stay humble forever but will, however, take their time before deploying anything and becoming a direct competitor to Ethereum, allowing them to tighten up security and functionality before moving on to providing smart contracts and Dapp solutions for companies. If you liked this article follow us on Twitter @themerklenews and make sure to subscribe to our newsletter to receive the latest bitcoin and altcoin price analysis and the latest cryptocurrency news. Krypton – Smart Contracts and DAPPs Development for Business Systems & IoT Ticker: KR Algorithm: Dagger-Hashimoto Block Reward: 0.25 KR Block Target: 15 Seconds Listen Port: 17171 RPC Port: 8888 Total KR: ~2.669 Million Real-Time Total KR Ethereum-Based: Utilizes Smart Contracts, DAOs, DACs and DAPPs Block Explorer: http://explorer.krypton.rocks After years in the tech sector, for engineering, entertainment, travel & finance companies, I’ve turned my focus to blockchain and building a startup, Krypton, to help companies realize their distributed applications. $KR is my vision for an ultra-fast blockchain that can realize all of the features of Ethereum with fewer initial coins, faster speed and lower inflation. Krypton can do the same things as Ethereum. However, with Ethereum’s codebase being updated to safely deploy DAOs, DACs, and DAPPs, there will be an explosion of practical-use cases, especially in the Internet of Things field. Companies will be actively seeking experienced developers. KR is an alternative platform on which to deploy these new technologies and Krypton developers are ready to build these systems. Join me in connecting Ðapps devs with real-life applications. Let’s code the future. — covertress, Founder & Project Manager Krypton is now hiring Smart Contracts and Ðapps developers with experience in Solidity, JS, and node.js. Please join Krypton’s Slack to apply: http://slack.krypton.rocks
SansaTechnologies / Box Box BoxF1 pit strategy optimization challenge - Reverse-engineer the race simulation algorithm from 30,000 historical races. A language-agnostic coding assessment designed to evaluate algorithmic thinking and data analysis skills.
sidchilling / Zerodha TAAlgorithms to mirror the trading strategy taught by Zerodha Varsity for Technical Analysis
kuleshov / Generalized Rayleigh QuotientFast algorithms for sparse principal component analysis
jlk9 / MASWAAccelerated algorithms for Multichannel Analysis of Surface Waves (MASW) using MPI and CUDA
kqdtran / ADA1A collection of all the programs I wrote during Coursera's Design and Analysis of Algorithms Part 1
Shriharsh-Deshmukh / DAA ML BT AlgoDesign and Analysis of Algorithms, Machine Learning and Blockchain Technology code base.
Mamba413 / BessBest Subset Selection algorithm for Regression, Classification, Count, Survival analysis
engineers-tools / XDGAAn implementation of Dissolved Gas Analysis (DGA) assessment algorithms and guidelines in the form of Excel Add-ins.
Defcon27 / Data Analysis Of Indian Automobile Dataset Using Machine Learning In RThe project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.
moradi-coding / Performance And Computational Analysis Of Polarization Adjusted Convolutional PAC CodesPerformance and computational analysis of polarization-adjusted convolutional (PAC) codes; Fano decoding algorithm
shridhar1504 / Sales Forecasting Datascience ProjectDevelop a data science project using historical sales data to build a regression model that accurately predicts future sales. Preprocess the dataset, conduct exploratory analysis, select relevant features, and employ regression algorithms for model development. Evaluate model performance, optimize hyperparameters, and provide actionable insights.
arneish / Parallel PCA OpenmpA parallelized implementation of Principal Component Analysis (PCA) using Singular Value Decomposition (SVD) in OpenMP for C. The procedure used is Modified Gram Schmidt algorithm. The method for Classical Gram Schmidt is also available for use.
KrVikashGupta / LeetCode Daily SolutionsThis repository contains Java solutions to various LeetCode problems. Each problem is solved using efficient algorithms and complexity analysis.
FurongHuang / ConvDicLearnTensorFactorTensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independent component analysis and dictionary learning. Model parameters are estimated via CP decomposition of the observed higher order input moments. However, in many domains, additional invariances such as shift invariances exist, enforced via models such as convolutional dictionary learning. In this paper, we develop novel tensor decomposition algorithms for parameter estimation of convolutional models. Our algorithm is based on the popular alternating least squares method, but with efficient projections onto the space of stacked circulant matrices. Our method is embarrassingly parallel and consists of simple operations such as fast Fourier transforms and matrix multiplications. Our algorithm converges to the dictionary much faster and more accurately compared to the alternating minimization over filters and activation maps.
FarhaKousar1601 / Online Shopping Sentiment Analaysis FlipkartThis project focuses on sentiment analysis of customer reviews on the Flipkart e-commerce platform. Leveraging natural language processing (NLP) and machine learning algorithms, we aim to extract valuable insights into user sentiments, providing a comprehensive understanding of their experiences and preferences.
olcaytaner / 201 DataStructures CPPSource codes for the Data Structures and Algorithms in C++ and Java book
baldomarco / SVITSVIT is an algorithm developed for the Satellite Vegetation Indices Trend analysis in the work Baldo et al., 2023. In this repository you can find the replicable R codes for the analysis and the validation statistical tests.
