madison-freeman Goto Github PK
Name: Madison Freeman
Type: User
Company: 2nd JCC
Bio: SA @ 2nd JCC // R&D+DSE @ The Atlas
Location: North Florida
Name: Madison Freeman
Type: User
Company: 2nd JCC
Bio: SA @ 2nd JCC // R&D+DSE @ The Atlas
Location: North Florida
In this project, we implement the logic used by ScroogeCoin to process user transactions and produce the ledger. The company organizes transactions into time periods or blocks. In each block, Scrooge receives a list of transactions, validates the transactions received, and publishes a list of validated transactions.
Project implementing the backpropagation algorithm for neural networks applied to hand-written digit recognition.
In this project, we created a convolutional neural network using the EfficientNetB1 model in Keras to perform Image Classification of MRI brain scans with reasonably high (97.4%) accuracy.
Program (in Golang) implementing encryption/decryption systems using AES in CBC mode and AES in CTR mode to recover the plaintext from hex-encoded ciphertext.
Program implementing encryption/decryption systems using AES in CBC mode and AES in CTR mode to recover the plaintext from hex-encoded ciphertext.
Designed and implemented a distributed consensus algorithm given a graph of “trust” relationships between nodes as an alternative method of resisting sybil attacks and achieving consensus. In this project, we developed a robust CompliantNode class that will work in all combinations of the graph parameters.
A program which computes the discrete log modulo a prime p.
An interactive, 3D Art Gallery showcasing Stetson University's current selection of paintings and sketchings by Oscar Bluemner
Program to compute the hash of a given file and to verify blocks of the file as they are received by the client. Allowing web browsers to authentic files before displaying the content to the user.
This project implements the K-means clustering algorithm, applies it to compress images, and uses principal component analysis to find a low-dimensional representation of facial images.
Created a linear regression model predicting profits for restaurant franchises seeking different cities to open a new venue with annual profit data, the population data of major cities, and number of food trucks located in several cities. Built a second multivariable linear regression model predicting the prices of houses (based on size, number of floors, bedrooms, and bathrooms) for different cities in the current market, to predict a good future market prices.
A classification model which calculates University applicant’s probability of admission into a program based on SAT and ACT exam scores given historical data from previous applicants as a training set for logistic regression.
Designed a neural network with multi-class regression to recognize handwritten digits (0-9) and to represent complex models that form non-linear hypothesis. We implement a feedforward propagation for the neural network and use the weights from our previous repository https://github.com/madison-freeman/logistic-regression-model.
A simple PDF editor for the web browser. Free to use. No software downloads.
Sorted the given doubly linked list of size N using quicksort. Created a function partition(), which accepts the first and last node of the given linked list as input parameters and returns the pivot's address. Expected Time Complexity: O(NlogN), Expected Auxilliary Space: O(1), Constraints: 1 <= N <= 200
Built a program to break RSA encryption when the public modulus N is generated incorrectly from generating the first prime p by choosing a random number R and scanning for a prime close by and the second prime q generated by scanning for another random prime also close to R.
Built interactive 3D models of SARS-CoV-19 spike (S) protein structures and generated high-quality images using biological sequence data stored in FASTA, PDB, and XML format (for educational purposes)
A simple encryption/decryption system for hex-encoded ciphertexts using the same stream cipher key.
A project in which we apply SVM with Gaussian kernels for non-linear classification on datasets that are not linearly separable.
Given an even number N (greater than 2), returned two prime numbers whose sum will be equal to given number. Printed only the pair whose minimum value is the smallest among all the minimum values of pairs with the minimum element first.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.