All Projects → TaLKConvolutions → Similar Projects or Alternatives

194 Open source projects that are alternatives of or similar to TaLKConvolutions

parse seq2seq
A tensorflow implementation of neural sequence-to-sequence parser for converting natural language queries to logical form.
Stars: ✭ 26 (+0%)
Mutual labels:  seq2seq
pytorch-transformer-chatbot
PyTorch v1.2에서 생긴 Transformer API 를 이용한 간단한 Chitchat 챗봇
Stars: ✭ 44 (+69.23%)
Mutual labels:  seq2seq
avsr-tf1
Audio-Visual Speech Recognition using Sequence to Sequence Models
Stars: ✭ 76 (+192.31%)
Mutual labels:  seq2seq
deep-keyphrase
seq2seq based keyphrase generation model sets, including copyrnn copycnn and copytransfomer
Stars: ✭ 51 (+96.15%)
Mutual labels:  seq2seq
EgoCNN
Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)
Stars: ✭ 16 (-38.46%)
Mutual labels:  icml
noisy label understanding utilizing
ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
Stars: ✭ 82 (+215.38%)
Mutual labels:  icml
NeuralCodeTranslator
Neural Code Translator provides instructions, datasets, and a deep learning infrastructure (based on seq2seq) that aims at learning code transformations
Stars: ✭ 32 (+23.08%)
Mutual labels:  seq2seq
DeepLearning-Lab
Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.
Stars: ✭ 83 (+219.23%)
Mutual labels:  seq2seq
AIPaperCompleteDownload
Complete download for papers in various top conferences
Stars: ✭ 64 (+146.15%)
Mutual labels:  icml
FairAI
This is a collection of papers and other resources related to fairness.
Stars: ✭ 55 (+111.54%)
Mutual labels:  icml
FedScale
FedScale is a scalable and extensible open-source federated learning (FL) platform.
Stars: ✭ 274 (+953.85%)
Mutual labels:  icml
Shakespearizing-Modern-English
Code for "Jhamtani H.*, Gangal V.*, Hovy E. and Nyberg E. Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models" Workshop on Stylistic Variation, EMNLP 2017
Stars: ✭ 64 (+146.15%)
Mutual labels:  seq2seq
tensorflow-chatbot-chinese
網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding
Stars: ✭ 50 (+92.31%)
Mutual labels:  seq2seq
torch-asg
Auto Segmentation Criterion (ASG) implemented in pytorch
Stars: ✭ 42 (+61.54%)
Mutual labels:  seq2seq
TextSumma
reimplementing Neural Summarization by Extracting Sentences and Words
Stars: ✭ 16 (-38.46%)
Mutual labels:  seq2seq
adversarial-code-generation
Source code for the ICLR 2021 work "Generating Adversarial Computer Programs using Optimized Obfuscations"
Stars: ✭ 16 (-38.46%)
Mutual labels:  seq2seq
ACE
Code for our paper, Neural Network Attributions: A Causal Perspective (ICML 2019).
Stars: ✭ 47 (+80.77%)
Mutual labels:  icml
Base-On-Relation-Method-Extract-News-DA-RNN-Model-For-Stock-Prediction--Pytorch
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
Stars: ✭ 33 (+26.92%)
Mutual labels:  seq2seq
icml-nips-iclr-dataset
Papers, authors and author affiliations from ICML, NeurIPS and ICLR 2006-2021
Stars: ✭ 21 (-19.23%)
Mutual labels:  icml
transformer
A PyTorch Implementation of "Attention Is All You Need"
Stars: ✭ 28 (+7.69%)
Mutual labels:  seq2seq
SRB
Code for "Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization"
Stars: ✭ 41 (+57.69%)
Mutual labels:  seq2seq
DLCV2018SPRING
Deep Learning for Computer Vision (CommE 5052) in NTU
Stars: ✭ 38 (+46.15%)
Mutual labels:  seq2seq
Speech recognition with tensorflow
Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.
Stars: ✭ 253 (+873.08%)
Mutual labels:  seq2seq
minimal-nmt
A minimal nmt example to serve as an seq2seq+attention reference.
Stars: ✭ 36 (+38.46%)
Mutual labels:  seq2seq
Tensorflow novelist
模仿莎士比亚创作戏剧!屌炸天的是还能创作金庸武侠小说!快star,保持更新!!
Stars: ✭ 244 (+838.46%)
Mutual labels:  seq2seq
Video-Cap
🎬 Video Captioning: ICCV '15 paper implementation
Stars: ✭ 44 (+69.23%)
Mutual labels:  seq2seq
Tensorflow Shakespeare
Neural machine translation between the writings of Shakespeare and modern English using TensorFlow
Stars: ✭ 244 (+838.46%)
Mutual labels:  seq2seq
Deep-Learning-Tensorflow
Gathers Tensorflow deep learning models.
Stars: ✭ 50 (+92.31%)
Mutual labels:  seq2seq
Debug seq2seq
[unmaintained] Make seq2seq for keras work
Stars: ✭ 233 (+796.15%)
Mutual labels:  seq2seq
keras seq2seq word level
Implementation of seq2seq word-level model using keras
Stars: ✭ 12 (-53.85%)
Mutual labels:  seq2seq
Text summarization with tensorflow
Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.
Stars: ✭ 226 (+769.23%)
Mutual labels:  seq2seq
Adversarial-Learning-for-Generative-Conversational-Agents
This repository contains a new adversarial training method for Generative Conversational Agents
Stars: ✭ 71 (+173.08%)
Mutual labels:  seq2seq
Paddlenlp
NLP Core Library and Model Zoo based on PaddlePaddle 2.0
Stars: ✭ 212 (+715.38%)
Mutual labels:  seq2seq
RNNSearch
An implementation of attention-based neural machine translation using Pytorch
Stars: ✭ 43 (+65.38%)
Mutual labels:  seq2seq
Headliner
🏖 Easy training and deployment of seq2seq models.
Stars: ✭ 221 (+750%)
Mutual labels:  seq2seq
dynmt-py
Neural machine translation implementation using dynet's python bindings
Stars: ✭ 17 (-34.62%)
Mutual labels:  seq2seq
Pytorch Beam Search Decoding
PyTorch implementation of beam search decoding for seq2seq models
Stars: ✭ 204 (+684.62%)
Mutual labels:  seq2seq
MoChA-pytorch
PyTorch Implementation of "Monotonic Chunkwise Attention" (ICLR 2018)
Stars: ✭ 65 (+150%)
Mutual labels:  seq2seq
Lingvo
Lingvo
Stars: ✭ 2,361 (+8980.77%)
Mutual labels:  seq2seq
seq3
Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"
Stars: ✭ 121 (+365.38%)
Mutual labels:  seq2seq
Deep Time Series Prediction
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
Stars: ✭ 183 (+603.85%)
Mutual labels:  seq2seq
semi-supervised-NFs
Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning
Stars: ✭ 23 (-11.54%)
Mutual labels:  icml
Tensorflow Tutorials
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
Stars: ✭ 2,096 (+7961.54%)
Mutual labels:  seq2seq
NLP-paper
🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/
Stars: ✭ 23 (-11.54%)
Mutual labels:  seq2seq
chatbot
🤖️ 基于 PyTorch 的任务型聊天机器人(支持私有部署和 docker 部署的 Chatbot)
Stars: ✭ 77 (+196.15%)
Mutual labels:  seq2seq
Deep News Summarization
News summarization using sequence to sequence model with attention in TensorFlow.
Stars: ✭ 167 (+542.31%)
Mutual labels:  seq2seq
tensorflow-ml-nlp-tf2
텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료
Stars: ✭ 245 (+842.31%)
Mutual labels:  seq2seq
Poetry Seq2seq
Chinese Poetry Generation
Stars: ✭ 159 (+511.54%)
Mutual labels:  seq2seq
NeuralCitationNetwork
Neural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)
Stars: ✭ 24 (-7.69%)
Mutual labels:  seq2seq
Nlp pytorch project
Embedding, NMT, Text_Classification, Text_Generation, NER etc.
Stars: ✭ 153 (+488.46%)
Mutual labels:  seq2seq
PackIt
Code for reproducing results in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"
Stars: ✭ 45 (+73.08%)
Mutual labels:  icml-2020
Conversation Tensorflow
TensorFlow implementation of Conversation Models
Stars: ✭ 143 (+450%)
Mutual labels:  seq2seq
GAN-RNN Timeseries-imputation
Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
Stars: ✭ 107 (+311.54%)
Mutual labels:  seq2seq
skt
Sanskrit compound segmentation using seq2seq model
Stars: ✭ 21 (-19.23%)
Mutual labels:  seq2seq
probabilistic nlg
Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).
Stars: ✭ 28 (+7.69%)
Mutual labels:  seq2seq
Awesome-Computer-Vision-Paper-List
This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.
Stars: ✭ 248 (+853.85%)
Mutual labels:  icml
NeuralTextSimplification
Exploring Neural Text Simplification
Stars: ✭ 64 (+146.15%)
Mutual labels:  seq2seq
neural-chat
An AI chatbot using seq2seq
Stars: ✭ 30 (+15.38%)
Mutual labels:  seq2seq
deep-molecular-optimization
Molecular optimization by capturing chemist’s intuition using the Seq2Seq with attention and the Transformer
Stars: ✭ 60 (+130.77%)
Mutual labels:  seq2seq
FontRNN
Implementation of FontRNN [Computer Graphics Forum, 2019].
Stars: ✭ 27 (+3.85%)
Mutual labels:  seq2seq
61-120 of 194 similar projects