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Name: Mithona Phou
Type: User
Location: South Korea
Name: Mithona Phou
Type: User
Location: South Korea
All The Code Files Presented In My Articles Can Be Accessed Here. Feel Free To Clone And Use For Learning Purposes
Learn to read, write, and crop bmp images
A hardware implementation of CNN, written by Verilog and synthesized on FPGA
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
Design and Implementation of 8 Bit ALU and CPU on Xilinx using Verilog HDL
『밑바닥부터 시작하는 딥러닝』(한빛미디어, 2017)
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
SystemVerilog HDL and TB code Deep Neural Network Hardware Accelerator implementation on zybo 7010 FPGA and also C code for Vivado SDK Software
Real time face detection based on Arm Cortex-M3 DesignStart and FPGA
coding with Verilog
face detection using classical Viola-Jones method
This a complete and fully working Viola-Jones face detection algorithm described in VHDL and verified on the DE2-115 FPGA board.
Running streaming-based Convolutional Neural Networks on maxeler DFE devices
Example demonstrating how gradient descent may be used to solve a linear regression problem
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
This repository contains detailed notes of all chapters and all three projects completed in Intel-Edge-AI NanoDegree.
A collection of materials to help you learn about deep learning
Collection of LaTeX resources and examples.
FPGA Accelerator for CNN using Vivado HLS
📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
Programming assignments from Coursera's Machine Learning(by Stanford University) course taught by Andrew Ng.
This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms
Description of new repository for subject Machine Learning/Deep Learning in the academic year 2020-1.
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Models and examples built with TensorFlow
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.