177 Open source projects that are alternatives of or similar to ACAN

Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

Attending to Discriminative Certainty for Domain Adaptation

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

Python toolbox for transfer learning.

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577

Official Implementation of "Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers"

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)

sentiment analysis、情感分析、文本分类、基于字典、python、classification

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Archived - not answering issues

Implementation of Domain Adaption in One-Shot Learning

Code and datasets for EMNLP2018 paper ‘‘Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification’’.

code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'

A data set and model for german sentiment classification.

This repository holds a small framework to evaluate unsupervised domain adaptation methods in combination with a CenterNet object detection network.

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

1st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue segmentation and classification task. (MICCAI 2019) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Automated NLP sentiment predictions- batteries included, or use your own data

Adapt Transformer-based language models to new text domains

Keras Implementation of Aspect based Sentiment Analysis

An emotion-polarity classifier specifically trained on developers' communication channels

ConText v4: Neural networks for text categorization

Pytorch implementation of Sentiment Classification in Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

stylegan-nada.github.io/

An easy to use python package for deep learning-based german sentiment classification.

Code for implementation of Unlearning Scanner Bias for MRI Harmonisation

This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

Scripts utilizing Heartex platform to build brand sentiment analysis from the news

No description or website provided.

Twitter Bot to follow financial trends in publicly traded companies

NLP with NLTK for Sentiment analysis amazon Products Reviews

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

A minimal pytorch package implementing a gradient reversal layer.

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)

Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification (AAAI'19)

Learn how to use Kinesis Firehose, AWS Glue, S3, and Amazon Athena by streaming and analyzing reddit comments in realtime. 100-200 level tutorial.

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

Sentiment Analysis in Arabic tweets

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

resource collection for transfer learning!

Attention-based multimodal fusion for sentiment analysis

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets.

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.

Source code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019

code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

Your Advanced Twitter stalking tool

[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation

LSTM and CNN sentiment analysis

Training & Inferring & Reproducing for SOTA ABSA models

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0

FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation (CVPR 2021)