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Name: Ochuko Adiotomre
Type: User
Name: Ochuko Adiotomre
Type: User
This project made used of a 2 level cache - L1: split cache and L2: unified cache. I evaluated the impact of changing the cache configuration, such as L1 and L2 Cache size, Associativity, Block Size and Latency hit time. This was done using a SimpleScalar “sim-outorder” model and the SPEC 2000 benchmark suite. The result was compared using: Number of instructions per cycle (IPC), L1 data cache miss rate L1 instruction cache miss rate L2 unified cache miss rate The number of load instructions executed Total Simulation time
This model uses Convolutional Neural Network to learn 8 different facial expression such as "neutral", "anger", "contempt", "disgust", "fear", "happy", "sadness" and "surprise".
In here I created a simple matrix transpose solver. The special part of this is that the user can input the size(any size) of the matrix they want to transpose and also the inputs of each elements of the matrix. I had to dynamically allocate the rows and columns to this matrix since a matrix is a 2D array whose size must be allocated when created with a constant number, rather than a variable, in which the "cin" function takes.
Simple image histogram generator using MATLAB
This is just a simple c++ code for inverting string
This is a project which predict the possibility of a passenger in the Titanic ship surviving or not. Information can be found on the website listed
This is a project use to describe if a mammogram is bening or malignant. The data set is from the uci repository and this is my final project implementation for the sundog frank kane udemy data science course. The implementation was well visualized and explaine for both experts and beginners. It also contains link to various models or methods used.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
This is an efficient implementation of the Mnist data set which provides an accuracy of up to 98%
This is a simple c++ project using pointers on nested structures
image segmentation by thresholding
In this project, the Robotic Arm Edge is used to perform surveillance on a red brick. The robot detects the red brick using image segmentation by thresholding, the robot is moved using two degress of freedom to keep the camera at the centroid of the brick as the brick is moved. At the point where the robot lose track of the brick, an alarm starts buzzing.
Udemy lectures on data science & machine learning; Sundog Education by Frank Kane
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.