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Automated Machine Learning with scikit-learn
accessible AutoML for deep learning.
Provide an input CSV and a target field to predict, generate a model + code to run it.
A topic-centric list of HQ open datasets in public domains. PR ☛☛☛
Bayesian Optimization with Neural Architectures for Neural Architecture Search - https://arxiv.org/abs/1910.11858
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Implementation of EAST scene text detector in Keras
Style transfer, deep learning, feature transform
FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
Notebook from Fresno Data Science Meetup lightning talk.
Our entry for https://itch.io/jam/game-off-2018
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
Implementation of IGLOO for sequences
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
PyTorch implementation of "InstaGAN: Instance-aware Image Translation" (ICLR 2019)
Amazon Deep Learning's Keras with Apache MXNet support
Keras implementation of MaskRCNN object detection.
Keras package for deep residual networks
A Keras implementation of YOLOv3 (Tensorflow backend)
Library targeting Intel Architecture for specialized dense and sparse matrix operations, and deep learning primitives.
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Minimal and clean examples of machine learning algorithms implemented in Julia
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
Implementation of Quickdraw - an online game developed by Google
Documentation on how to access and use the Quick, Draw! Dataset.
A system for quickly generating training data with weak supervision
Tensorflow 2.0 implementation of Deep Neural Decision Trees
The source code of NIPS17 'Universal Style Transfer via Feature Transforms'.
Visual Search using Apache MXNet and gluon
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.