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seq2seq

Sequence to Sequence Learning with Keras

seq2seq-attn

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

seq2seqchatbots

Seq2seq chatbot models, check paper link

seqeval

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

seqgan-1

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

sequence-models-on-stanford-treebank

seya

Bringing up some extra Cosmo to Keras.

sf-deep-rl

Project on Successor Features in Deep Reinforcement Learning and Transfer Learning

shallow_updates_for_deep_rl

Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"

shapechanger

Transfer Learning Environments

showmethemoney

A Sentiment Analysis Tool on Financial Data

siamese

siamese net for metric learning

siamese-networks-for-one-shot-learning

Implementation of Siamese Neural Networks for One-shot Image Recognition

simdjson

Parsing gigabytes of JSON per second

simple_grasping

ROS components for grasping

simrdwn

Rapid satellite imagery object detection

simulink-underwater-robotics-simulator

sketch

Learn handwriting using RNN

slm-lab

A research framework for Deep Reinforcement Learning using Unity, OpenAI Gym, PyTorch, Tensorflow.

snn4hrl

Stochastic Neural Networks for Hierarchical Reinforcement Learning

snownlp

Python library for processing Chinese text

soft-decision-tree

pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"

softqlearning

Reinforcement Learning with Deep Energy-Based Policies

solt

Streaming over lightweight data transformations

solution-to-equations-of-motion-for-underwater-glider

Equations of motion towards underwater glider were formulated at Princeton by Graver in his PhD work in 2005.Various marine engineers use them to develop different guidance, navigation and control system towards efficient functioning of the glider.This code simulates the results of Graver (2005) towards solving equations of motion of underwater glider. The MATLAB code is properly commented for the input parameters to be used in simulation of glider motion. Our request is just to cite our code in your work where you are using the MATLAB code.

sonnet

TensorFlow-based neural network library

spark_post

sparse-reinforcement-learning

sparseconvnet

Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.