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deep-learning-papers

Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.

Here are 32 public repositories matching this topic...

sbrugman / deep-learning-papers

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Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

science machine-learning deep-learning neural-networks arxiv papers deep-learning-papers

Updated Dec 21, 2019

tdeboissiere / DeepLearningImplementations

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Implementation of recent Deep Learning papers

deep-learning-papers

Updated Nov 5, 2019
Python

cbsudux / awesome-human-pose-estimation

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A collection of awesome resources in Human Pose estimation.

computer-vision deep-learning awesome-list human-pose-estimation deep-learning-papers pose-estimation 2d-human-pose 3d-human-pose

Updated Feb 22, 2020

leehomyc / Faster-High-Res-Neural-Inpainting

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High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis

machine-learning deep-learning deep-learning-papers

Updated May 29, 2018
Lua

madrugado / deep-learning-nlp-rl-papers

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Recent Deep Learning papers in NLU and RL

natural-language-processing reinforcement-learning deep-learning nlu deep-learning-papers

Updated Oct 5, 2019
Python

dcmocanu / sparse-evolutionary-artificial-neural-networks

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Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

deep-neural-networks sparsity deep-learning scalability randomization neuroevolution deep-learning-algorithms classification evolutionary-algorithms artificial-neural-networks restricted-boltzmann-machine complex-networks deep-learning-papers multi-layer-perceptron generative-models sparse-neural-networks scalable-deep-learning sparse-training sparse-evolutionary-training adaptive-sparse-connectivity

Updated Jul 4, 2020
Python

shunk031 / paper-survey

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📚Survey of previous research and related works on machine learning (especially Deep Learning) in Japanese

machine-learning natural-language-processing survey summary arxiv deep-learning-papers arxivtimes

Updated May 26, 2020
HTML

thomwolf / awesome-limits-of-dl4nlp

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A curated list of papers exploring the limits of deep learning for NLP

nlp awesome-list deep-learning-papers limits

Updated Mar 20, 2018

nlp-survey-text2image / nlp-survey-text2image

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NLP & imageについて幅広くサーベイする。

deep-learning-papers arxivtimes

Updated Apr 27, 2019

brighter-ai / awesome-privacy-papers

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Machine/deep learning papers that address the topic of privacy in visual data.

awesome privacy computer-vision deep-learning awesome-list deep-learning-papers privacy-papers

Updated Sep 3, 2020

geyang / deep_learning_papers_TLDR

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repository for my TLDR for deep learning papers (and SML papers!)

deep-learning deep-learning-papers

Updated Jun 2, 2017
Mathematica

msuzen / bristol

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Parallel random matrix tools and complexity for deep learning

deep-learning machine-learning-algorithms statistical-mechanics deep-learning-papers complexity-analysis neural-architecture-search complexity-measure random-matrix-theory spin-glass ergodicity random-matrices circular-ensembles deep-learning-complexity

Updated Dec 15, 2019
Jupyter Notebook

dnlcrl / PyScholarGraph

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Code for "Five Hundred Deep Learning Papers, Graphviz and Python" (http://goo.gl/l1PIoi)

python graphviz graph citation deep-learning-papers google-scholar

Updated Dec 9, 2015
Python

sairajk / Thumbnail-Generation

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Fast and Accurate User constrained Thumbnail Generation using Adaptive Convolutions. | ICASSP 2019 [ORAL]

machine-learning computer-vision deep-learning thumbnails tensorflow paper aspect-ratio python3 rpn user deep-learning-papers vgg19 generating-thumbnails region-proposal gca thumbnail-generator icassp-2019 adaptive-convolution aspect-ratios adaptive-convolutions

Updated Feb 2, 2019
Python

DatomicsGroup / deepbio

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This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to applications of Deep Learning to biomedicine. Feel free to make a pull request to contribute to this list.

machine-learning bioinformatics deep-neural-networks deep-learning genomics biology computational-biology tutorials neural-networks deeplearning papers deep-learning-papers neural-nets bioinformatics-algorithms deeplearning-papers biomedicine

Updated Mar 24, 2020

Deep-Scratch / Essential-Deep-learning-papers

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To summarize essential Deep learning papers from CV, NLP and GAN.

natural-language-processing computer-vision deep-learning generative-adversarial-network image-recognition image-segmentation deep-learning-papers

Updated May 4, 2018
Jupyter Notebook

zafarali / paper-notes

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notes from machine learning, reinforcement learning and other papers

deep-learning computational-biology generative-model deep-learning-papers

Updated Mar 2, 2018

prabhant / Deep-learning-book-notes

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Notes of deep learning book by Ian Goodfellow and Yoshua Bengio and Aaron Courville

machine-learning deep-neural-networks deep-learning neural-network machine-learning-algorithms deep-learning-algorithms deep-learning-papers deep-learning-tutorial machine-intelligence

Updated Sep 25, 2017

oke-aditya / pytorch_paper_implementations

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Deep Learning Paper Implementations in PyTorch

deep-learning pytorch deep-learning-papers implementation-of-research-paper

Updated Jul 7, 2020
Python

xashru / deep-learning-distilled

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Notes on some important deep learning topics and paper summaries

deep-neural-networks deep-learning deep-learning-algorithms deep-learning-papers

Updated Jan 26, 2019
Jupyter Notebook

Huizerd / papers

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Summaries of deep learning & computer vision papers for the courses CS4180 & IN4393-16 at TU Delft

deep-learning-papers machine-learning-papers computer-vision-papers

Updated Aug 6, 2018

awesome-davian / Computer_Vision_Paper_Study

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deep-learning paper deep-learning-papers computer-vision-ai

Updated Aug 13, 2018

CellEight / Pytorch-Adaptive-Instance-Normalization

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A Pytorch implementation of the 2017 Huang et. al. paper "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization"

machine-learning computer-vision deep-learning style-transfer neural-networks deep-learning-papers

Updated Jul 13, 2020
Python

mjpyeon / pytorch-infogan-oop

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objected oriented implementation of InfoGAN using PyTorch

machine-learning deep-neural-networks deep-learning generative-adversarial-network infogan deep-learning-algorithms deeplearning deep-learning-papers deep-learning-tutorial infogan-pytorch

Updated Aug 5, 2018
Python

AkhithaBabu / ICH-detection

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Website pages for Model Deployment of ICH Detection using DL

javascript css python html machine-learning deep-neural-networks deep-learning detection machine-learning-algorithms cnn medical-imaging deep-learning-algorithms deep-learning-papers hybrid-model machine-learning-models model-deployment deeplearning-demo deep-learning-models machine-learning-projects ct-scan-images

Updated Sep 1, 2020
CSS

ResByte / dl-paper-notes

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Notes of deep learning papers

papers deep-learning-papers dl-paper-notes

Updated Apr 18, 2017

tim1234ltp / understanding-awesome-deep-learning-papers

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This is a try to do topic modellng on papers from awesome-deep-learning-papers repo

nlp deep-learning-papers topic-modellng

Updated Dec 17, 2018
HTML

ShivaliGoel / Paper-Explanations

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Key Pointers/ Exhaustive Notes for various Machine Learning Research Papers

machine-learning deep-neural-networks neural-networks image-captioning show-and-tell deep-learning-papers research-paper deep-learning-tutorial research-paper-explanation karpathy deep-visual-semantic-alignments image-descriptions

Updated Mar 16, 2017

GeekTemo / deep-learning-papers

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Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

deep-learning deep-learning-papers

Updated Mar 8, 2019

sahwar / conv_arithmetic

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A technical report on convolution arithmetic in the context of deep learning

deep-learning deep-learning-algorithms deep-learning-papers deep-learning-tutorial

Updated Apr 12, 2019
TeX

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