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abstractive-summarization

Implementation of abstractive summarization using LSTM with Residual Recurrent Attention in the encoder-decoder architecture with local attention.

awesome-anomaly-detection

A complete list of papers on anomaly detection.

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

awesome-text-summarization

Text Summarization

awesome_time_series_in_python

This curated list contains python packages for time series analysis

better_writer

capstone

Forecasting Economic Risks in the EU into 2020

causalimpact

Python Causal Impact port of Google's Algorithm.

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cs224n-2019-solutions

Complete solutions for Stanford CS224n, winter, 2019

cs224n-stanford-winter-2019

The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See，感谢所有助教！

data_science_for_all

Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepadots

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

deeplearning-models

A collection of various deep learning architectures, models, and tips

fastai

The fast.ai deep learning library, lessons, and tutorials

how_to_make_a_text_summarizer

This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube

implicit

Fast Python Collaborative Filtering for Implicit Datasets

librarydataanalysisscripts

Generate graphs stored in GraphML format from csv files that contain relatable data.

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

nlp-datasets

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

olipy

Python library for artistic text generation

practical-1

Oxford Deep NLP 2017 course - Practical 1: word2vec

pytorch-deep-learning-minicourse

Minicourse in Deep Learning with PyTorch

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

repo-2017

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

spark-nlp

Natural Language Understanding Library for Apache Spark.

spark-py-notebooks

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks