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pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pyrouge

An interface to and, in time, a Python reimplementation of the ROUGE package for evaluating summarization

pytorch

Python wrappers for torch and lua

pytorch-1

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-generative-adversarial-networks

A very simple generative adversarial network (GAN) in PyTorch

pytorch-pretrained-bert

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

pytorch-seq2seq

pytorch-seq2seq is a framework for sequence-to-sequence (seq2seq) models in PyTorch.

pytrec_eval

pytrec_eval is an Information Retrieval evaluation tool for Python, based on the popular trec_eval.

ranking

Learning to Rank in TensorFlow

ranking_clarification_questions

Code and Data for the paper: "Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information"

recipes

Lasagne recipes: examples, IPython notebooks, ...

reinforce_py

Reinforcement Learning in Python

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

resnext

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

revnet-public

Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"

rnn

Recurrent Neural Network library for Torch7's nn

rnnlib

RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/

rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

rtbarbitrage

A framework of statistical arbitrage mining in performance-driven display advertising.

scidocs

Dataset accompanying the SPECTER model

scikit-learn

scikit-learn: machine learning in Python

sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

seq2seq

A general-purpose encoder-decoder framework for Tensorflow

seq2seq-attn

Sequence-to-sequence model with LSTM encoder/decoders and attention

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

seqmatchseq

sequence_gan

Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).

shogun

The Shogun Machine Learning Toolbox (Source Code)

simplebot

A super simple abstract bot class and instantiation which trains a seq2seq model on the Cornell movie dialog dataset

siri-incomplete-questions

Incomplete follow-up questions dataset used for comparison with SIRI for SIGIR 2017 paper