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Name: Jan Bours
Type: User
Bio: I care about Data Science in general. But I try to focus on some subfields of it (or I will explode ......... ).
Location: Netherlands
Name: Jan Bours
Type: User
Bio: I care about Data Science in general. But I try to focus on some subfields of it (or I will explode ......... ).
Location: Netherlands
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
This is the curriculum for "Learn Physics in 2 Months" by Siraj Raval on Youtube
Oxford Deep NLP 2017 course
C language complearn library
Library for factorization machines
Survival analysis in Python
Learning Fault Trees from Observational Data
Local Interpretable Model-Agnostic Explanations (R port of original Python package)
Lime: Explaining the predictions of any machine learning classifier
Code for all experiments.
Lexical INference using KnowledgE Resources
Language Model Fine-tuning for Moby Dick
This is the Python Code for the submission to Kaggle's Loan Default Prediction by the ID "HelloWorld"
Lending Club Loan data analysis
A logistic regressor class written in python, with the testing code against an example dataset.
Longformer: The Long-Document Transformer
Python loop optimization for numerical calculations
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
How to build a Multilayered LSTM Network to infer Stock Market sentiment from social conversation using TensorFlow.
Predicting the behavior of $BTC-USD by training a memory-based neural net on historical data
This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube
A collection of infrastructure and tools for research in neural network interpretability.
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
Python API for Intelligent Visual Data Discovery
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.