Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
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Dec 21, 2019
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deep-learning-papers
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
Here are 47 public repositories matching this topic...
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
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Oct 12, 2022
High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
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May 29, 2018 - Lua
📓 A curated list of deep learning image matting papers and codes
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Nov 5, 2023
Summaries for exciting works in the field of Deep Learning.
open-source reviews deep-learning-papers summaries reinforcement-learning-papers computer-vision-papers nlp-papers top-tier-conferences
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Dec 17, 2024
Recent Deep Learning papers in NLU and RL
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Oct 5, 2019 - Python
Always sparse. Never dense. But never say never. A Sparse Training 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
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Jul 21, 2021 - Python
📚 Survey of previous research and related works on machine learning (especially Deep Learning) in Japanese
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Apr 11, 2023 - HTML
Machine/deep learning papers that address the topic of privacy in visual data.
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Dec 6, 2022
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 paper pytorch style-transfer neural-networks datasets deep-learning-papers pretrained-weights huang
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Jul 13, 2020 - Python
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
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Feb 10, 2024 - Jupyter Notebook
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
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Feb 2, 2019 - Python
Repository collecting resources and best practices to improve experimental rigour in deep learning research.
machine-learning deep-neural-networks research deep-learning resources awesome-list deep-learning-papers deep-learning-tutorial experimental-design deep-learning-research
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Mar 30, 2023 - Python
A curated list of papers exploring the limits of deep learning for NLP
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Mar 20, 2018
100 AI Machine learning Deep learning Computer vision NLP Projects with code
python nlp data-science machine-learning awesome computer-vision deep-learning artificial-intelligence deep-learning-papers final-year-project nlp-projects machine-learning-projects artificial-intelligence-projects collageproject deep-learning-projects compuer-vision-project
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Dec 20, 2024
Deep Learning Paper Implementations in PyTorch
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Nov 11, 2020 - Python
repository for my TLDR for deep learning papers (and SML papers!)
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Jun 2, 2017 - Mathematica
Code for "Five Hundred Deep Learning Papers, Graphviz and Python" (http://goo.gl/l1PIoi)
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Dec 9, 2015 - Python
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