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multi_gpu_framework

Using Multiple GPU with tensorflow

multi_horizon_quantile_rnn

An implementation of the Multi-Horizon Quantile Recurrent (MQRNN) Time-Series Forecaster

multifactor

Built a practical Multi-Factor Backtesting Framework from scratch based on Huatai Security's(One of China's largest sell side) financial engineering report. Steps include factor data collection and preprocessing, factor combination, portfolio optimization and risk return analysis.

multivariate-time-series-data

mup

maximal update parametrization (µP)

music_recommender

Music recommender using deep learning with Keras and TensorFlow

muti-attention-cnn

mvts_transformer

Multivariate Time Series Transformer, public version

n-beats

n-beats-1

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

named_entity_recognition

中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

neural_graph_collaborative_filtering

Neural Graph Collaborative Filtering, SIGIR2019

neuralnetworks

java deep learning algorithms and deep neural networks with gpu acceleration

neuralnlp-neuralclassifier

An Open-source Neural Hierarchical Multi-label Text Classification Toolkit

neuroevolution

Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.

next-vit

ngram-graphs

:mortar_board:RESEARCH:art:[NLP:memo:] Analysis of N-gram Graphs and their applications in the domain of Text Classification and Extraction based Summarization:crown:

nlp-conferences-code

NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI)

nlp-loss-pytorch

Implementation of some unbalanced loss like focal_loss, dice_loss, DSC Loss, GHM Loss et.al

nlp-paper

自然语言处理领域下的对话语音领域，整理相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp_basic_model

some basic deep learning models/method for nlp, text classification.

nlp_overview

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

nni

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

nntimeseries

notes-linear-algebra

线性代数笔记

numpy-100

100 numpy exercises (with solutions)

numpy-ml

Machine learning, in numpy

numpydl

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.