├── Books ├── machine_learning │ └── readme.md └── readme.md ├── ByYears ├── Y2019 │ ├── AI_Debate │ │ └── readme.md │ └── readme.md └── readme.md ├── CNN ├── ComputerVision │ ├── 20190513_Visualizing_Deep_Networks_by_Optimizing_with_Integrated_Gradients │ │ ├── IGOS1.PNG │ │ └── readme.md │ ├── Optimal_Approach_for_Image_Recognition_using_Deep_Convolutional_Architecture.ipynb │ ├── d2_net.ipynb │ └── readme.md └── readme.md ├── Conferences ├── computer_vision │ ├── CVPR │ │ ├── CVPR2020 │ │ │ └── readme.md │ │ └── readme.md │ └── readme.md └── readme.md ├── Deep_Learning_Frameworks ├── Challenges │ ├── Testing │ │ └── readme.md │ └── readme.md └── readme.md ├── Detection ├── YOLO │ ├── ComplexYOLO │ │ ├── ComplexYOLO_IO1.png │ │ └── readme.md │ └── readme.md └── readme.md ├── Domain_of_Application └── Embedded_Computer_Vision │ ├── Architectures │ ├── EfficientNet │ │ └── readme.md │ └── YOLO │ │ ├── YOLO_v1.0 │ │ ├── YOLOv1_LeakyRELU1.png │ │ └── readme.md │ │ └── readme.md │ └── readme.md ├── GAN ├── Cheatsheet_SAGAN_1.ipynb └── readme.md ├── Geometric_Deep_Learning ├── CNN │ ├── Gauge_Equivariant_Convolutional_Networks_and_the_Icosahedral_CNN │ │ ├── paper_analysis.ipynb │ │ └── readme.md │ └── readme.md ├── Manifold │ ├── Principles_of_Riemannian_Geometry_in_Neural_Networks │ │ └── readme.md │ └── readme.md └── readme.md ├── GraphNeuralNetworks ├── Shared_Notes_on_Paper_Discovering_Symbolic_Models_from_Deep_Learning_with_Inductive_Biases.ipynb └── readme.md ├── Kanban ├── Backlog │ ├── Day20200815 │ │ └── readme.md │ └── Day20200816 │ │ └── readme.md └── WorkingOn │ ├── Adam_Kosiorek_Blog │ ├── machine_learning_of_sets.md │ └── readme.md │ └── readme.md ├── README.md ├── ReinforcementLearning ├── OfflineReinforcementLearning │ ├── Img20200801_0832_1.PNG │ └── readme.md ├── Q_Learning │ └── readme.md ├── RL_in_a_nutshell.png ├── ReinforcementLearning_Fast_and_Slow │ └── readme.md ├── Reinforcement_Learning_in_a_nutshell.pdf ├── main_challenges │ └── readme.md └── readme.md ├── autonomous_navigation ├── Paper_Summary_Serial_Benchmarking_Classic_and_Learned_Navigation_in_Complex_3D_Environments │ ├── Paper_Summary_Serial_Benchmarking_Classic_and_Learned_Navigation_in_Complex_3D_Environments.md │ ├── medium_article_20190131_1.md │ └── readme.md └── readme.md ├── contribute.md ├── domain_adaptation ├── README.md ├── overview_domain_adaptation.ipynb └── universal_domain_adaptation_through_self_supervision.md ├── fake_news ├── A_Topic-Agnostic_Approach for Identifying Fake_News_Pages_20190502 │ └── readme.md └── readme.md ├── programming_languages └── rust │ ├── Microsoft - Rust Is the Industrys Best Chance at Safe Systems Programming_Pag1.PNG │ └── readme.md ├── quantum_computing └── readme.md ├── reservoir_computing ├── basic │ └── readme.md └── readme.md ├── statistics ├── readme.md └── vbmc_20190505_1832_1 │ ├── VBMC_Algo1.PNG │ ├── VBMC_Performance1.PNG │ └── readme.md └── training ├── how_ai_scales_20181215_1.ipynb ├── objective-function-landscape ├── History_of_Deep_Learning_Training_20200510.pdf └── readme.md └── readme.md /Books/machine_learning/readme.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/NicolaBernini/PapersAnalysis/HEAD/Books/machine_learning/readme.md -------------------------------------------------------------------------------- /Books/readme.md: -------------------------------------------------------------------------------- 1 | 2 | # Overview 3 | 4 | Interesting list of books 5 | 6 | 7 | -------------------------------------------------------------------------------- /ByYears/Y2019/AI_Debate/readme.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/NicolaBernini/PapersAnalysis/HEAD/ByYears/Y2019/AI_Debate/readme.md -------------------------------------------------------------------------------- /ByYears/Y2019/readme.md: 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