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multi-horizon-forecasting-for-limit-order-books

multicore-tsne

Parallel t-SNE implementation with Python and Torch wrappers.

multivariate-prediction

time-series-predictoin(LSTNet,SAB,Transformer...)

muse-as-service

REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.

music-analyzer

Converting music to a ML friendly format and analyzing it.

musicmood

A machine learning approach to classify songs by mood.

muzero

A structured implementation of MuZero

muzero-general

MuZero

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more

nannyml

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.

neofinrl

Tens of market environments for quant finance.

nests

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.

networkx

Network Analysis in Python

neural-flows-experiments

Experiments for Neural Flows paper

neural-storyteller

A recurrent neural network for generating little stories about images

neural-vqa

VIS+LSTM model for Visual Question Answering

neural_artistic_style

Neural Artistic Style in Python

neural_prophet

NeuralProphet: A simple forecasting package

neural_prophet_lightning

neuralnetworks

java deep learning algorithms and deep neural networks with gpu acceleration

neuralprocesses

Neural Processes implementation for 1D regression

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

neuroevolution

Simple Neuroevolution to Solve the CartPole Environment

nextml

IJulia notebooks for the Next.ML event on 1/17/2015

nla-skoltech-project

nlp_yelp_review_unsupervised

Train unsupervised LDA Topic Model on raw Yelp review text, use topic distributions as feature inputs to supervised classifier of review sentiment

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

nnproject_deepmask

Deep Neural Network for object segmentation.

nolearn

Abstractions around neural net libraries, most notably Lasagne.

nonrandomwalks

Implementation of Lo and MacKinlay's statistical tests from A Non Random Walk Down Wall Street