923 Open source projects that are alternatives of or similar to iPerceive

CRNN with attention to do OCR,add Chinese recognition

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

[ICCV 2021] TRAR: Routing the Attention Spans in Transformers for Visual Question Answering -- Official Implementation

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

My Attempt(s) In The World Of ML/DL....

document classification using LSTM + self attention

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Transformer/Transformer-XL/R-Transformer examples and explanations

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

Predict materials properties using only the composition information!

This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

📚 Text classification library with Keras

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

Text2Text: Cross-lingual natural language processing and generation toolkit

Implementation for the paper "Hierarchical Conditional Relation Networks for Video Question Answering" (Le et al., CVPR 2020, Oral)

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Enhanced BiLSTM Inference Model for Natural Language Inference

nlp lecture-notes and source code

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

[CVPR21] Visual Semantic Role Labeling for Video Understanding (https://arxiv.org/abs/2104.00990)

[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

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

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

Image captioning using attention models

Sequence to Sequence Models in PyTorch

Bangla Machine Translator

Self-contained Machine Learning and Natural Language Processing library in Go

Sorting numbers with pointer networks

Implementation of papers for text classification task on DBpedia

Machine learning, in numpy

CNN, LSTM, NBOW, fasttext 中文文本分类

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

Attention-based multimodal fusion for sentiment analysis

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

🛠️ Tools for Transformers compression using PyTorch Lightning ⚡

Conversational text Analysis using various NLP techniques

Repository for Attention Algorithm

Awesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断，神经逻辑，强人工智能逻辑推理前沿领域。

采用深度学习方法进行刀具识别。

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

OWL and Semantic Web toolkit for Common Lisp, used for construction and reasoning over ontologies and ontology-structured data

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

一套友好的、方便集成的针对cell的左滑编辑功能！

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

[CVPR2020] Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation

Improving Machine Reading Comprehension with General Reading Strategies