sean0719 Goto Github PK

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.)

sevdl_mgp

Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors", Christos Louizos & Max Welling, ICML 2016

sgfin.github.io

shiruipan.github.io

snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

snn_benchmark

spl-advise

PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"

ssl-few-shot

SSL-FEW-SHOT

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

st-matching

A Python implementation of the ST map-matching algorithm

st-metanet

The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"

st-shn

Code of ST-SHN for IJCAI-21

st-siamesenet

ST-SiameseNet (KDD'20)

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

stdn

Code for our Spatiotemporal Dynamic Network

stgcn-ijcai-18

Spatio-Temporal Graph Convolutional Networks

stgcn_ijcai-18

Spatio-Temporal Graph Convolutional Networks

sthsl

https://github.com/anonymousSTHSL/STHSL

streetlearn

A C++/Python implementation of the StreetLearn environment based on images from Street View, as well as a TensorFlow implementation of goal-driven navigation agents solving the task published in “Learning to Navigate in Cities Without a Map”, NeurIPS 2018

strnn

Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts

sttn

paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>

studybook

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

t2vec

t2vec: Deep Representation Learning for Trajectory Similarity Computation

tangjianpku.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

tans

This is an official PyTorch implementation of Task-Adaptive Neural Network Search with Meta-Contrastive Learning (NeurIPS 2021, Spotlight).

tensorbayes

Deep variational inference in tensorflow

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-101

TensorFlow Tutorials