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Type: Organization
Type: Organization
Bare bones Python implementations of various Machine Learning models and algorithms.
papers on large-scale machine learning and systems
A collection of video resources for machine learning
code for my O'Reilly masterclass videos
Model assisted random sampling.
Machine learning and adaptive intelligence module for 2018.
Minimal and clean examples of machine learning algorithms
MlFinlab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
:sparkles: Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:
mlpack: a scalable C++ machine learning library
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
MMQA Dataset
Models built with TensorFlow
mojo cnn: c++ convolutional neural network
Modular Restricted Boltzmann Machine (RBM) implementation using Theano
Custom-built full text and event geoparsing
A customizable recommendation engine for Hadoop and Pig by Mortar Data.
A machine translation reading list maintained by Tsinghua Natural Language Processing Group
Parallel t-SNE implementation with Python and Torch wrappers.
multiNetX is a python package for the manipulation and visualization of multilayer networks. It is build on NetworkX (https://networkx.github.io/)
A Torch implementation of the object detection network from "A MultiPath Network for Object Detection" (https://arxiv.org/abs/1604.02135)
The amazing 🐕will normalize non-standard Finnish and dialectalize standard Finnish!
A library for Multilingual Unsupervised or Supervised word Embeddings
Logging MXNet data for visualization in TensorBoard.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more
MultiGPU enabled image generative models (GAN and DCGAN)
An interactive book on deep learning. Much easy, so MXNet. Wow.
TOROS N2 - lightweight approximate Nearest Neighbor library which runs faster even with large datasets
Goal oriented dialog systems for bAbI tasks!
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.