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

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

A minimal nmt example to serve as an seq2seq+attention reference.

Tensorflow implementation of Attention-based Bidirectional RNN text classification.

Awesome Pytorch Tutorials

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

Using LSTM or Transformer to solve Image Captioning in Pytorch

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

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End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

Sequence to sequence learning using TensorFlow.

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

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Reproduce some methods in semi-supervised papers.

Beam search for neural network sequence to sequence (encoder-decoder) models.

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

Chainer implementation of Deepmind's Visual Attention Model paper

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Generating image captions using Xception Network and Beam Search in Keras

Implementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

Cross platform C++ library focusing on optimized machine translation on the consumer-grade device.

Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, debuted in ICLR 2022

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

A Neural Network based Chatbot

This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).

ViNet Pushing the limits of Visual Modality for Audio Visual Saliency Prediction

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

Invariant representation learning from imaging and spectral data

Learning cell communication from spatial graphs of cells

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Source code for our "TitleStylist" paper at ACL 2020

Mid-level PyTorch Based Framework for Visual Question Answering.

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

Asymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images

[ACM MM 2017 & IEEE TMM 2020] This is the Theano code for the paper "Video Description with Spatial Temporal Attention"

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention

organic chemistry reaction prediction using NMT with Attention

Sentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.

PyTorch Implementation for Neural Graph Collaborative Filtering

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

An implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem

Implementation of the Character-level Intra Attention Network (CIAN) for Natural Language Inference (NLI) upon SNLI and MultiNLI corpus

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A clean and lucid implementation of cycleGAN using PyTorch

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

TianChi AIEarth Contest Solution

The implementation of 3D-UNet using PyTorch

Implement of Dynamic Model Pruning with Feedback with pytorch

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).