xrosliang,github

semantic-segmentation-guide

A Theory and Practical Guide to Deep Learning Semantic Segmentation

semantic-segmentation-loss-functions

This Repository is implementation of majority of Semantic Segmentation Loss Functions

semantic-segmentation-tutorial-pytorch

A simple PyTorch codebase for semantic segmentation using Cityscapes.

semantic-segmentation-using-adversarial-networks

Chainer Implementation of Semantic Segmentation using Adversarial Networks

semeval-2016

SemEval-2016 Task 9: Chinese Semantic Dependency Parsing

semi-auto-image-annotation-tool

Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations for 80 object classes using a pre-trained model

semi-supervised-transfer-learning

[CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning

seminas

Semi Supervised Neural Architecture Search

sensaturban

🔥Urban-scale point cloud dataset (CVPR 2021)

sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

senteval

A python tool for evaluating the quality of sentence embeddings.

sentiment-discovery

Unsupervised Language Modeling at scale for robust sentiment classification

sentimentpolarityanalysis

情感极性分析repository1：基于情感词典、k-NN、Bayes、最大熵、SVM的情感极性分析。

sentimentwordexpansion

Self complemented sentiment words expansion using seed sentiment words and so-pmi , this method is tested to be effective，基于情感种子词与so-pmi算法的情感词扩展.

sepc

Scale-equalizing Pyramid Convolution for object detection

sepstereo_eccv2020

Codebase for the paper "Sep-Stereo: Visually Guided Stereophonic Audio Generation by Associating Source Separation" (ECCV2020)

seq2seq

A general-purpose encoder-decoder framework for Tensorflow

seq2seq-1

Sequence to Sequence Learning with Keras

seq2seq-couplet

Play couplet with seq2seq model. 用深度学习对对联。

seq2seq_tutorial

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

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.)

seqgan-pytorch

A implementation of SeqGAN in PyTorch, following the implementation in tensorflow.

Tools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and question answering etc.

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