All Projects → CompareModels_TRECQA → Similar Projects or Alternatives

630 Open source projects that are alternatives of or similar to CompareModels_TRECQA

TextFeatureSelection
Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models
Stars: ✭ 42 (-31.15%)
Mutual labels:  nlp-machine-learning
core
WIP - A personal life helper providing solutions and happiness
Stars: ✭ 17 (-72.13%)
Mutual labels:  nlp-machine-learning
PersianQA
Persian (Farsi) Question Answering Dataset (+ Models)
Stars: ✭ 114 (+86.89%)
Mutual labels:  question-answering
domain-attention
codes for paper "Domain Attention Model for Multi-Domain Sentiment Classification"
Stars: ✭ 22 (-63.93%)
Mutual labels:  attention-mechanism
Image-Caption
Using LSTM or Transformer to solve Image Captioning in Pytorch
Stars: ✭ 36 (-40.98%)
Mutual labels:  attention-mechanism
skripsiTF
Skripsi
Stars: ✭ 21 (-65.57%)
Mutual labels:  cnn-model
denspi
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index (DenSPI)
Stars: ✭ 188 (+208.2%)
Mutual labels:  question-answering
NLP-Natural-Language-Processing
Projects and useful articles / links
Stars: ✭ 149 (+144.26%)
Mutual labels:  nlp-machine-learning
PAM
[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning
Stars: ✭ 62 (+1.64%)
Mutual labels:  attention-mechanism
SpeakerDiarization RNN CNN LSTM
Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).
Stars: ✭ 56 (-8.2%)
Mutual labels:  cnn-model
Patient2Vec
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
Stars: ✭ 85 (+39.34%)
Mutual labels:  attention-mechanism
A-Persona-Based-Neural-Conversation-Model
No description or website provided.
Stars: ✭ 22 (-63.93%)
Mutual labels:  attention-mechanism
VoiceNET.Library
.NET library to easily create Voice Command Control feature.
Stars: ✭ 14 (-77.05%)
Mutual labels:  cnn-model
Hutoma-Conversational-AI-Platform
Hu:toma AI is an open source stack designed to help you create compelling conversational interfaces with little effort and above industry accuracy
Stars: ✭ 35 (-42.62%)
Mutual labels:  nlp-machine-learning
AoA-pytorch
A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering
Stars: ✭ 33 (-45.9%)
Mutual labels:  attention-mechanism
AttentionGatedVNet3D
Attention Gated VNet3D Model for KiTS19——2019 Kidney Tumor Segmentation Challenge
Stars: ✭ 35 (-42.62%)
Mutual labels:  attention-mechanism
Video-Cap
🎬 Video Captioning: ICCV '15 paper implementation
Stars: ✭ 44 (-27.87%)
Mutual labels:  attention-mechanism
minimal-nmt
A minimal nmt example to serve as an seq2seq+attention reference.
Stars: ✭ 36 (-40.98%)
Mutual labels:  attention-mechanism
ntua-slp-semeval2018
Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.
Stars: ✭ 79 (+29.51%)
Mutual labels:  attention-mechanism
squadgym
Environment that can be used to evaluate reasoning capabilities of artificial agents
Stars: ✭ 27 (-55.74%)
Mutual labels:  question-answering
Nuts
自然语言处理常见任务(主要包括文本分类,序列标注,自动问答等)解决方案试验田
Stars: ✭ 21 (-65.57%)
Mutual labels:  nlp-machine-learning
RadiologyReportEmbedding
Intelligent Word Embeddings of Free-Text Radiology Reports
Stars: ✭ 22 (-63.93%)
Mutual labels:  nlp-machine-learning
LMFD-PAD
Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection
Stars: ✭ 27 (-55.74%)
Mutual labels:  attention-mechanism
DAF3D
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
Stars: ✭ 60 (-1.64%)
Mutual labels:  attention-mechanism
lingvo--Ner-ru
Named entity recognition (NER) in Russian texts / Определение именованных сущностей (NER) в тексте на русском языке
Stars: ✭ 38 (-37.7%)
Mutual labels:  nlp-machine-learning
attention-mechanism-keras
attention mechanism in keras, like Dense and RNN...
Stars: ✭ 19 (-68.85%)
Mutual labels:  attention-mechanism
verseagility
Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.
Stars: ✭ 23 (-62.3%)
Mutual labels:  question-answering
memology
Memes - why so popular?
Stars: ✭ 32 (-47.54%)
Mutual labels:  nlp-machine-learning
text-preprocess-python
Text preprocessing tools in python.
Stars: ✭ 22 (-63.93%)
Mutual labels:  nlp-machine-learning
nlp ner workshop
Named-Entity-Recognition Workshop
Stars: ✭ 15 (-75.41%)
Mutual labels:  nlp-machine-learning
Shukongdashi
使用知识图谱,自然语言处理,卷积神经网络等技术,基于python语言,设计了一个数控领域故障诊断专家系统
Stars: ✭ 109 (+78.69%)
Mutual labels:  question-answering
OverlapPredator
[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.
Stars: ✭ 293 (+380.33%)
Mutual labels:  attention-mechanism
FreebaseQA
The release of the FreebaseQA data set (NAACL 2019).
Stars: ✭ 55 (-9.84%)
Mutual labels:  question-answering
ake-datasets
Large, curated set of benchmark datasets for evaluating automatic keyphrase extraction algorithms.
Stars: ✭ 125 (+104.92%)
Mutual labels:  nlp-machine-learning
iPerceive
Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021
Stars: ✭ 52 (-14.75%)
Mutual labels:  question-answering
TransTQA
Author: Wenhao Yu ([email protected]). EMNLP'20. Transfer Learning for Technical Question Answering.
Stars: ✭ 12 (-80.33%)
Mutual labels:  question-answering
phd-resources
Internet Delivered Treatment using Adaptive Technology
Stars: ✭ 37 (-39.34%)
Mutual labels:  nlp-machine-learning
Multi-task-Conditional-Attention-Networks
A prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.
Stars: ✭ 21 (-65.57%)
Mutual labels:  attention-mechanism
SANET
Arbitrary Style Transfer with Style-Attentional Networks
Stars: ✭ 105 (+72.13%)
Mutual labels:  attention-mechanism
HHH-An-Online-Question-Answering-System-for-Medical-Questions
HBAM: Hierarchical Bi-directional Word Attention Model
Stars: ✭ 44 (-27.87%)
Mutual labels:  question-answering
PororoQA
PororoQA, https://arxiv.org/abs/1707.00836
Stars: ✭ 26 (-57.38%)
Mutual labels:  question-answering
embeddings
Embeddings: State-of-the-art Text Representations for Natural Language Processing tasks, an initial version of library focus on the Polish Language
Stars: ✭ 27 (-55.74%)
Mutual labels:  nlp-machine-learning
visdial
Visual Dialog: Light-weight Transformer for Many Inputs (ECCV 2020)
Stars: ✭ 27 (-55.74%)
Mutual labels:  attention-mechanism
TeBaQA
A question answering system which utilises machine learning.
Stars: ✭ 17 (-72.13%)
Mutual labels:  question-answering
SelfAttentive
Implementation of A Structured Self-attentive Sentence Embedding
Stars: ✭ 107 (+75.41%)
Mutual labels:  attention-mechanism
dialogbot
dialogbot, provide search-based dialogue, task-based dialogue and generative dialogue model. 对话机器人,基于问答型对话、任务型对话、聊天型对话等模型实现,支持网络检索问答,领域知识问答,任务引导问答,闲聊问答,开箱即用。
Stars: ✭ 96 (+57.38%)
Mutual labels:  question-answering
Machine-Learning-Projects-2
No description or website provided.
Stars: ✭ 23 (-62.3%)
Mutual labels:  nlp-machine-learning
strategyqa
The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".
Stars: ✭ 27 (-55.74%)
Mutual labels:  question-answering
FragmentVC
Any-to-any voice conversion by end-to-end extracting and fusing fine-grained voice fragments with attention
Stars: ✭ 134 (+119.67%)
Mutual labels:  attention-mechanism
resolutions-2019
A list of data mining and machine learning papers that I implemented in 2019.
Stars: ✭ 19 (-68.85%)
Mutual labels:  attention-mechanism
word2vec-tsne
Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.
Stars: ✭ 59 (-3.28%)
Mutual labels:  nlp-machine-learning
Medi-CoQA
Conversational Question Answering on Clinical Text
Stars: ✭ 22 (-63.93%)
Mutual labels:  question-answering
Linear-Attention-Mechanism
Attention mechanism
Stars: ✭ 27 (-55.74%)
Mutual labels:  attention-mechanism
enformer-pytorch
Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
Stars: ✭ 146 (+139.34%)
Mutual labels:  attention-mechanism
question-answering
No description or website provided.
Stars: ✭ 32 (-47.54%)
Mutual labels:  question-answering
Attention mechanism-event-extraction
Attention mechanism in CNNs to extract events of interest
Stars: ✭ 17 (-72.13%)
Mutual labels:  attention-mechanism
Hierarchical-Word-Sense-Disambiguation-using-WordNet-Senses
Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow
Stars: ✭ 33 (-45.9%)
Mutual labels:  attention-mechanism
nystrom-attention
Implementation of Nyström Self-attention, from the paper Nyströmformer
Stars: ✭ 83 (+36.07%)
Mutual labels:  attention-mechanism
egfr-att
Drug effect prediction using neural network
Stars: ✭ 17 (-72.13%)
Mutual labels:  attention-mechanism
ibm-ai-day
Presentation for IBM Community Day AI
Stars: ✭ 13 (-78.69%)
Mutual labels:  nlp-machine-learning
61-120 of 630 similar projects