jdc08161063 Goto Github PK

rectorch

rectorch: state-of-the-art recsys approaches implemented in pytorch.

recurrent-environment-simulators

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

recurrent-pixel-embedding-for-instance-grouping

learning to embed pixels and group them into boundaries, object proposals, semantic segments and instances.

recurrent-relational-networks

Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028

recurrent_neural_network

This is the code for "Recurrent Neural Networks - The Math of Intelligence (Week 5)" By Siraj Raval on Youtube

recycle-gan

Unsupervised Video Retargeting (e.g. face to face, flower to flower, clouds and winds, sunrise and sunset)

referringrelationships

refinenet

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

reinforcement-learning-code

reinforcement-learning-models

A set of reinforcement learning reference implementations built on caffe2.

reinforcement-learning-notebooks

A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.

reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

relation-network

keras implementation of [A simple neural network module for relational reasoning](https://arxiv.org/pdf/1706.01427.pdf)

relation-network-tensorflow

Tensorflow implementations of Relational Networks and a VQA dataset named Sort-of-CLEVR proposed by DeepMind.

relationclassification-rl

Reinforcement Learning for Relation Classification from Noisy Data(AAAI2018)

relationprediction

ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

relativisticgan

Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"

relu-classifier

Deep Learning using Rectified Linear Units (ReLU)

replacing-bash-scripting-with-python

Guide on using using python for administrative scripting

repo-2017

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

repo-2018

Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core + Brain Waves Reconstruction

rescan

Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining

research-softmax-with-mutual-information

Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".

residual-attention-network

Residual Attention Network for Image Classification

resnest

ResNeSt: Split-Attention Network

resnet-in-tensorflow

Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.

resnext-in-tensorflow

This is an implementation of ResNeXt (by Xie et al.) in tensorflow

rethinking-network-pruning

Rethinking the Value of Network Pruning (Pytorch)