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Parallel t-SNE implementation with Python and Torch wrappers.
time-series-predictoin(LSTNet,SAB,Transformer...)
REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.
Converting music to a ML friendly format and analyzing it.
A machine learning approach to classify songs by mood.
A structured implementation of MuZero
MuZero
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more
Detecting silent model failure. NannyML estimates performance with an algorithm called Confidence-based Performance estimation (CBPE), developed by core contributors. It is the only open-source algorithm capable of fully capturing the impact of data drift on performance.
Tens of market environments for quant finance.
The NESTS application was built IBM Watson Service, Tradeoff Analytics. NESTS allows the user to search for FHA-eligible homes in America, using real-time data.
Network Analysis in Python
Experiments for Neural Flows paper
A recurrent neural network for generating little stories about images
VIS+LSTM model for Visual Question Answering
Neural Artistic Style in Python
NeuralProphet: A simple forecasting package
java deep learning algorithms and deep neural networks with gpu acceleration
Neural Processes implementation for 1D regression
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Simple Neuroevolution to Solve the CartPole Environment
IJulia notebooks for the Next.ML event on 1/17/2015
Train unsupervised LDA Topic Model on raw Yelp review text, use topic distributions as feature inputs to supervised classifier of review sentiment
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Deep Neural Network for object segmentation.
Abstractions around neural net libraries, most notably Lasagne.
Implementation of Lo and MacKinlay's statistical tests from A Non Random Walk Down Wall Street
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.