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Machine learning contest - October 2016 TLE
advertools - online marketing productivity and analysis tools
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
Course Files for Complete Python 3 Bootcamp Course on Udemy
The Data Engineering Cookbook
Efficient solutions to "Cracking the Coding Interview" (6th Edition) problems
A GAN based framework for adding and removing medical evidence in 3D volumetric medical scans
Data Analysis Over 10 years of hourly energy consumption data from PJM in Megawatts python
Deep Learning tutorials in jupyter notebooks.
Learn Node Embeddings from DeepWalk
A RST Parser with a trained model
:memo: A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
Event data simulator. Generates a stream of pseudo-random events from a set of users, designed to simulate web traffic.
Fake news detection
CS224W Project
This is a dataset for fake news detection research
GANs in slanted land
Synthetic datasets for geoscience (geo)statistical modeling
317 efficient solutions to HackerRank problems
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
Just another repository
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
The VALIDATION ACCURACY is BEST on KAGGLE. Artificial Neural Network with a validation accuracy of 97.98 % and a precision of 95% was achieved from the data to learn (as a cellphone attached on the waist) to recognise the type of activity that the user is doing. The dataset's description goes like this: The sensor signals (accelerometer and gyroscope) were pre-processed by applying noise filters and then sampled in fixed-width sliding windows of 2.56 sec and 50% overlap (128 readings/window). The sensor acceleration signal, which has gravitational and body motion components, was separated using a Butterworth low-pass filter into body acceleration and gravity. The gravitational force is assumed to have only low frequency components, therefore a filter with 0.3 Hz cutoff frequency was used.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
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.