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:clipboard: An easy to use and deploy note taking web app built using Flask
AMeDASの過去の観測データと最新の観測データをダウンロードするツールです。主にPythonで作成しています。
Course files for DAT203.3x: Applied Machine Learning
Better dates & times for Python
A curated list of awesome Python frameworks, libraries, software and resources
Sample project modeling battery storage and dispatch
A Python implementation of global optimization with gaussian processes.
Bayesian Inference Tools in Python
Biologically-Inspired and Machine Learning Algorithms written in Python
NumPy and Pandas interface to Big Data
A multi-user blogging application using Flask.
React Blog with Firebase & WYSIWYG text editor
Smart Modular Watering System using Blynk
Canadian Solar Simulation Program for Grid-Connected PV Systems
A JavaScript / Python / PHP cryptocurrency trading library with support for more than 90 bitcoin/altcoin exchanges
Optimizers for machine learning
My notes / works on deep learning from Coursera
This is a coursera test
Automatic Trading Bot using Triangular or Exchange Arbitrages
DAGMM Tensorflow implementation
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton
Automated daily pattern filtering of measured building performance data
:id: A python library for accurate and scaleable fuzzy matching, record deduplication and entity-resolution.
Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0
A simple deep learning model for predicting SP500 stock price using TensorFlow
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.
Source Code for 'Deep Neuro-Fuzzy Systems with Python' by Himanshu Singh and Yunis Ahmad Lone
Here is some of the work I have done throughout my Deep Learning research at St Francis Xavier University
MIT Deep Learning Book in PDF format
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.