Papers from the computer science community to read and discuss.
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May 8, 2020 - Shell
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papers
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A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
python
nlp
data-science
machine-learning
natural-language-processing
awesome
facebook
computer-vision
deep-learning
neural-network
cv
tutorials
pytorch
awesome-list
utility-library
probabilistic-programming
papers
nlp-library
pytorch-tutorials
pytorch-model
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May 13, 2020
A resource repository for 3D machine learning
machine-learning
voxel
point-cloud
primitives
mesh
neural-networks
papers
constructive-solid-geometries
3d
3d-reconstruction
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Apr 9, 2020
cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理
machine-learning
computer-vision
deep-learning
image-classification
object-detection
papers
image-segmentation
cvpr2019
cvpr2020
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May 8, 2020
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
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Dec 21, 2019
Curated list of awesome GAN applications and demo
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May 1, 2020
A comprehensive collection of recent papers on graph deep learning
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Apr 8, 2020
Papers on Computational Advertising
machine-learning
deep-learning
recommender-system
advertising
papers
ctr-prediction
computational-advertising
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Mar 7, 2020 - Python
Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
roadmap
cnn
dnn
tts
rnn
seq2seq
automatic-speech-recognition
papers
language-model
attention-mechanism
speaker-verification
timit-dataset
acoustic-model
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May 4, 2020
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
tracking
deep-learning
detection
segmentation
object-detection
optical-flow
papers
tracking-by-detection
code-collection
paper-collection
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May 14, 2020
A curated list of awesome embedding models tutorials, projects and communities.
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Apr 7, 2019 - Jupyter Notebook
A curated list of deep learning image classification papers and codes
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Jan 9, 2020
Paper list and source code for multi-object-tracking
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Apr 24, 2020
Awesome-pytorch-list 翻译工作进行中......
python
nlp
machine-learning
facebook
computer-vision
deep-learning
neural-network
cv
tutorials
pytorch
utility-library
probabilistic-programming
papers
nlp-library
pytorch-tutorials
pytorch-models
data-sicence
awsome-pytorch-list
cnversion
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May 14, 2020 - Jupyter Notebook
Cool vision, learning, and graphics papers on Cats!
cats
cat
machine-learning
computer-vision
deep-learning
computer-graphics
awesome-list
papers
papers-collection
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Dec 30, 2019 - Python
computer-vision
code
generative-adversarial-network
gan
image-manipulation
papers
curated-list
image-to-image
image-translation
image-to-image-translation
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Mar 20, 2020
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Aug 27, 2019
The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
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Oct 8, 2018
Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)
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Mar 26, 2020
Resources, datasets, papers on Question Answering
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Jan 8, 2019
A curated list of papers, code and resources pertaining to zero shot learning
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Dec 18, 2019
machine-learning
collection
deep-learning
neural-network
fashion
artificial-intelligence
generative-adversarial-network
gan
awesome-list
papers
curated-list
research-paper
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Mar 20, 2020 - Shell
The best resources around Machine Learning
data-science
machine-learning
deep-learning
paper
machine-learning-algorithms
papers
machine-learning-tutorials
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Jul 11, 2019 - HTML
Scientific time series and deep learning state of the art
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Sep 12, 2018
Papers for deep neural network compression and acceleration
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May 24, 2018
a list of pappers in deep learning for new-comes.
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Jan 7, 2017
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The current documentation states for the "add-confirm" setting that: "If set to True, every time you run papis add the flag --confirm will be added automatically." This would seem to imply that the default value (False) prevents the confirmation message from showing up when you run "papis add [file]" from the command line. However, one must include the --batch flag in order to accomplish that (add