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memn2n-tensorflow

"End-To-End Memory Networks" in Tensorflow

memnn

Memory Networks implementations

mem_absa

Aspect Based Sentiment Analysis using End-to-End Memory Networks

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

metahuman_overview

数字人资料整理

ml-mastery-zh

:book: [译] MachineLearningMastery 博客文章

mle-llama

Multi-language Enhanced LLaMA

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

models

Models and examples built with TensorFlow

multimodal-sentiment-analysis

Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.

neural-turing-machines

Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)

neuraldialogpapers

Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)

neural_artistic_style

Neural Artistic Style in Python

neuronlp2

Deep neural models for core NLP tasks (Pytorch version)

nkthesis

南开大学硕士毕业论文/博士论文模板 (Latex Template for Nankai University)

nlp-benchmarks

nlp_thai_resources

More than 50+ collections of Thai Natural Language Processing libraries. Update daily.

nlu-benchmark

nmt

TensorFlow Neural Machine Translation Tutorial

notebooks

Some sample IPython notebooks for scikit-learn

nsc

Neural Sentiment Classification

openai-gpt-tf.keras-generating-last-sentence

outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

personal-emotional-stylized-dialog

A Paper List for Personalized, Emotional, and stylized Dialog

pplm

Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

predicttheworldcup

A tutorial about predicting the winner of the FIFA World Cup by using Machine Learning

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-examples

Simple examples to introduce PyTorch

pytorch-pretrained-bert

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.