tristaneljed Goto Github PK
Name: Tristan
Type: User
Company: @LEGO
Bio: Data Science & Engineering
Location: Copenhagen
Name: Tristan
Type: User
Company: @LEGO
Bio: Data Science & Engineering
Location: Copenhagen
Python based api for searching google web, images, calc, and currency conversion.
Slides of my talk "Handling GPS data with Python" at the EuroPython 2016 in Bilbao
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).
A big data project to apply Hadoop map- reduce to derive some statistics from IMDB movie data.
Fast Python Collaborative Filtering for Implicit Datasets
Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.
Find instagram influencers at cool venues of your choosing
Unofficial instagram API, give you access to ALL instagram features (like, follow, upload photo and video and etc)! Write on python.
An Instagram fashion blogger recommendation app based on deep learning and natural language processing.
Custom Jupyter Notebook Themes
Demo for Kafka Connect with JDBC and HDFS Connectors
Code examples that show to integrate Apache Kafka 0.8+ with Apache Storm 0.9+ and Apache Spark Streaming 1.1+, while using Apache Avro as the data serialization format.
Some Python Implementations of the Kalman Filter
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Hyperparameter tuning for humans
A Python implementation of LightFM, a hybrid recommendation algorithm.
Basic recommender system built with LightFM.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Tutorial on how to create location based recommendations.
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
Credit card fraud detection through logistic regression, k-means, and deep learning.
Open source platform for the machine learning lifecycle
Mining of Massive Datasets - Stanford
Open-source toolbox for visual fashion analysis based on PyTorch
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.