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qanet

A Tensorflow implementation of QANet for machine reading comprehension

qanet-1

A Tensorflow implementation of "QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension": https://arxiv.org/abs/1804.09541

qkeras

QKeras: a quantization deep learning library for Tensorflow Keras

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

quasi-rnn

Character-level Neural Translation using Quasi-RNNs

quasi-rnn-1

Quasi-RNN for language modeling

r-drop

r-drop-1

R-Drop方法在中文任务上的简单实验

r-net

Tensorflow Implementation of R-Net

r-net-1

A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks

r-net-in-tensorflow

R-NET implementation in TensorFlow. https://www.microsoft.com/en-us/research/wp-content/uploads/2017/05/r-net.pdf

radam

On The Variance Of The Adaptive Learning Rate And Beyond

ranger-tensorflow

Radam+lookahead implemented by tensorflow

ranking

Learning to Rank in TensorFlow

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

rczoo

question answering, reading comprehension toolkit

readcomp

Entity Tracking Improves Cloze-style Reading Comprehension

recordpapers4nlp

Record papers for some NLP related area

reformer-pytorch

Reformer, the efficient Transformer, in Pytorch

reformers

Efficient Transformers for research, PyTorch and Tensorflow using Locality Sensitive Hashing

reinforcement-learning

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

remote-sensing-image-semantic-segmentation-tf2

The remote sensing image semantic segmentation repository based on tf.keras includes backbone networks such as resnet, densenet, mobilenet, and segmentation networks such as deeplabv3+, pspnet, panet, and refinenet.

repvgg-tf2

res2net-tensorflow

Tensorflow implementation of a res2net module

resnest-tf2

TensorFlow implementation of "ResNeSt: Split-Attention Networks"

ripplenet

A tensorflow implementation of RippleNet

robosat

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

robot-surgery-segmentation

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

rstree

dynamic suffix tree

runx

Deep Learning Experiment Management