vinrok Goto Github PK

django-summernote

Simply integrate Summernote editor with Django project.

djangoproj

My first Django Project

docker-repository

donorschoose_visualization

Source for blog post: Interactive Data Visualization with D3.js, DC.js, Python, and MongoDB

dr_demo

Diabetic Retinotherapy demo

dsn-project

A Machine Learning Prediction Algorithm

dwv-simplistic

Simple medical viewer based on DWV (DICOM Web Viewer).

dynamicprogressbar

A dynamic progress bar using jquery, javascript.

explain-git-with-d3

Use D3 to visualize simple git branching operations.

express_example

An example node.js app using express

fastbook

The fastai book, published as Jupyter Notebooks

fine-tuning-sbert

Repo contains code and files related to fine-tuning of SBERT model

fullstack-nanodegree-vm

hands-on-transfer-learning-with-python

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

handson-ml2

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.

healthcare-data-analysis

Analyzing healthcare data for age group of 0-17 years.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

html_proj

My HTML project for shoppe..

iandevlin.github.io

image-jpeg2000

image-processing-with-streamlit

A streamlit app showing image processing techniques.

interview-question-data-science-

learning-area

Github repo for the MDN Learning Area.

learnopencv

Learn OpenCV : C++ and Python Examples

lifting-from-the-deep-release

Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"

linear-regression

Ordinary Least Squres, Batch Gradient Descent and Hyperparameters analysis

loanpredictionapp

Predicting whether the candidate should be granted loan or not using ML model

machine-learning-projects

Machine Learning Experiments and Work

mit-15-003-data-science-tools

Study guides for MIT's 15.003 Data Science Tools

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.