407 Open source projects that are alternatives of or similar to TS3000_TheChatBOT

Neural machine translation implementation using dynet's python bindings

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

A TensorFlow Implementation of Machine Translation In Neural Machine Translation in Linear Time

Machine Translation (MT) Preparation Scripts

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

LightSeq: A High Performance Inference Library for Sequence Processing and Generation

No description or website provided.

UPC Deep Learning for Speech and Language 2018

Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

Invariant representation learning from imaging and spectral data

Multigrid Neural Architecture

Several basic neural machine translation models implemented by PyTorch & TensorFlow

codes for paper "Domain Attention Model for Multi-Domain Sentiment Classification"

Attention-based bidirectional LSTM for Classification Task (ICASSP)

An Implementation of Transformer (Attention Is All You Need) in DyNet

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

No description or website provided.

Tool to automate the visualisation of SQL schemas from a SQL file

Playground for implementing custom layers and other components compatible with keras, with the purpose to learn the framework better and perhaps in future offer some utils for others.

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

Sqlite3 command line in a docker container

Exploring attention weights in transformer-based models with linguistic knowledge.

Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"

A list of data mining and machine learning papers that I implemented in 2019.

Learning cell communication from spatial graphs of cells

Attention mechanism

My take on a practical implementation of Linformer for Pytorch.

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

Predict materials properties using only the composition information!

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Visualizing RNNs using the attention mechanism

This is our implementation of SAMN: Social Attentional Memory Network

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

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

Image Captioning using InceptionV3 and beam search

基于双向RNN，Attention机制的编解码神经机器翻译模型

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

Source code for our "TitleStylist" paper at ACL 2020

Transformer based on a variant of attention that is linear complexity in respect to sequence length

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

An AI chatbot using seq2seq

Noise removal from images using Convolutional autoencoder

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

Basic Utilities for PyTorch Natural Language Processing (NLP)

Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

Coherent Semantic Attention for image inpainting(ICCV 2019)

S2VT (seq2seq) video captioning with bahdanau & luong attention implementation in Tensorflow

Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954

Pytorch implementation of a basic language model using Attention in LSTM network

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity

Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch

curated collection of papers for the nlp practitioner 📖👩‍🔬