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Some ipython notebooks implementing AI algorithms
Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.
Aim β a super-easy way to record, search and compare 1000s of ML training runs
Minimal examples of data structures and algorithms in Python
An open-source NLP research library, built on PyTorch.
Example notebooks that show how to apply quantum computing in Amazon Braket.
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Notebooks for the Algorthmic Machine Learning class @ Eurecom
Anomaly detection algorithm implementation in Python
Anomaly Detection On IP Address Data - An Example using Gaussian Mixture Modeling (GMM) Clustering
Anomaly detection related books, papers, videos, and toolboxes
Public source code for the Batch Processing with Apache Beam (Python) online course
Source code for the YouTube video, Apache Beam Explained in 12 Minutes
This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"
fast.ai APL study group notes
π Papers by organizations sharing their work on applied data science & machine learning.
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
APT & CyberCriminal Campaign Collection
Arbitrary image stylization using TensorFlow.js
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! π)
Content for Udacity's AI in Trading NanoDegree.
Web interface for browsing, search and filtering recent arxiv submissions
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019
A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
Code for the blog post "Learning Montezumaβs Revenge from a Single Demonstration"
The source codes for the paper, "An unsupervised approach to detecting and isolating athletic movements", EMBC2016
Auto Tune Models - A multi-user, multi-data system for model selection and tuning.
Collection of notebooks and scripts related to audio processing and machine learning.
A data augmentations library for audio, image, text, and video.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.