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Computer Vision
MLP-Mixer An all-MLP Architecture for Vision
Summary of Automatic Colorization
Color space, Network Architecture, Loss function and Evaluation
Colorization Insight Automatic 4
Most Recent Update
Colorization Insight Automatic 3
More in Deep Learning
NTIRE 2019 Challenge on Image Colorization Report -- Brief
SOTA in 2019
Colorization Insight Automatic 2
Automatic Colorization Evolution
Colorization Insight Automatic 1
Automatic Colorization Evolution
Colorization Insight Scribbled 2
More about Scribble-based methods
Colorization Insight Scribbled 1
Related Works and Techniques
Colorization Insight Introduction
Introduction What and Why
Colorization
Mind Map of Colorization Survey
Thoughts and Ideas
Summary of Automatic Colorization
Color space, Network Architecture, Loss function and Evaluation
Colorization Insight Automatic 4
Most Recent Update
Colorization Insight Automatic 3
More in Deep Learning
NTIRE 2019 Challenge on Image Colorization Report -- Brief
SOTA in 2019
Colorization Insight Automatic 2
Automatic Colorization Evolution
Colorization Insight Automatic 1
Automatic Colorization Evolution
Colorization Insight Scribbled 2
More about Scribble-based methods
Colorization Insight Scribbled 1
Related Works and Techniques
Colorization Insight Introduction
Introduction What and Why
Deep Learning
Unsupervised Feature Learning and Deep Learning
A Brief Survey of Deep Reinforcement Learning
Algorithms and Challenges
Beginner's Guide to Deep Reinforcement Learning
Basic Knowledge
3D and Deep Learning
Transfer Learning Tricks
NLP with PyTorch 3 Fundational Components of Neural Network
NLP with PyTorch 2 Quick Tour of Traditional NLP
NLP with PyTorch 1 Basics
Introduction and basic conceptions
Deep Learning in Bioinformatics
Introduction, Application, and Perspective in Big Data Era
Mind Map of Colorization Survey
Thoughts and Ideas
Survey Example -- Image Segmentation Using Deep Learning
Summary of Automatic Colorization
Color space, Network Architecture, Loss function and Evaluation
Colorization Insight Automatic 4
Most Recent Update
Colorization Insight Automatic 3
More in Deep Learning
NTIRE 2019 Challenge on Image Colorization Report -- Brief
SOTA in 2019
Colorization Insight Automatic 2
Automatic Colorization Evolution
Colorization Insight Automatic 1
Automatic Colorization Evolution
Competition Report
NTIRE 2019 Challenge on Image Colorization Report -- Brief
SOTA in 2019
Papers
Deep Learning in Bioinformatics
Introduction, Application, and Perspective in Big Data Era
Graph Embedding on Biomedical Networks
Paper reading and summary
Survey Example -- Image Segmentation Using Deep Learning
Summary of Automatic Colorization
Color space, Network Architecture, Loss function and Evaluation
Colorization Insight Automatic 4
Most Recent Update
Colorization Insight Automatic 3
More in Deep Learning
NTIRE 2019 Challenge on Image Colorization Report -- Brief
SOTA in 2019
Technical Writing
Mind Map of Colorization Survey
Thoughts and Ideas
Survey Example -- Image Segmentation Using Deep Learning
How to write a good Survey Review
Semantic Segmentation
Survey Example -- Image Segmentation Using Deep Learning
Color Theory
Color Theory and Applications Notes 1
Chapter 1 The Nature of Color
Physics
Color Theory and Applications Notes 1
Chapter 1 The Nature of Color
Human Vision System
Color Theory and Applications Notes 1
Chapter 1 The Nature of Color
Book
Color Theory and Applications Notes 1
Chapter 1 The Nature of Color
Computer Graphics
GAMES101-Transformation Continue
Notes and Ideas
GAMES101-Transformation
Notes and Ideas
GAMES101-Review of Linear Algebra
Notes and Ideas
GAMES101-Overview of Computer Graphics
Notes and Ideas
Tutorials
NLP with PyTorch 3 Fundational Components of Neural Network
NLP with PyTorch 2 Quick Tour of Traditional NLP
NLP with PyTorch 1 Basics
Introduction and basic conceptions
GAMES101-Transformation Continue
Notes and Ideas
GAMES101-Transformation
Notes and Ideas
GAMES101-Review of Linear Algebra
Notes and Ideas
GAMES101-Overview of Computer Graphics
Notes and Ideas
Mathematics
GAMES101-Transformation Continue
Notes and Ideas
GAMES101-Transformation
Notes and Ideas
GAMES101-Review of Linear Algebra
Notes and Ideas
Graph Neural Network
Introduction to GNN Note 3
Advanced Skills and Applications
Introduction to GNN Note 2
Graph Neural Network and its Variations
Graph Neural Network 1
Graph Neural Network Introduction
Graph Embedding on Biomedical Networks
Paper reading and summary
Biomedical
Deep Learning in Bioinformatics
Introduction, Application, and Perspective in Big Data Era
Graph Embedding on Biomedical Networks
Paper reading and summary
Natural Language Processing
NLP with PyTorch 3 Fundational Components of Neural Network
NLP with PyTorch 2 Quick Tour of Traditional NLP
NLP with PyTorch 1 Basics
Introduction and basic conceptions
Machine Learning
Persistent-Homology-based Machine Learning and its Application
A Survey
Topology
Persistent-Homology-based Machine Learning and its Application
A Survey
Persistent Homology
Persistent-Homology-based Machine Learning and its Application
A Survey
Transfer Learning
Transfer Learning Tricks
3D
3D and Deep Learning
Graph Theory
Introduction to GNN Note 1
Basic Knowledge and Recap
Graph Neural Network 1
Graph Neural Network Introduction
Graph Embedding
Graph Embedding Introduction
Crystal Nets as Graphs
Introduction to graph theory and its application to crystal nets
Crystal
Crystal Nets as Graphs
Introduction to graph theory and its application to crystal nets
Graph Embedding
Graph Embedding
Graph Embedding Introduction
Neural Network
MLP-Mixer An all-MLP Architecture for Vision
AE2-Nets Autoencoder in Autoencoder Networks
Multi-view Deep Subspace Clustering Networks
Beginner's Guide to Deep Reinforcement Learning
Basic Knowledge
Introduction to GNN Note 1
Basic Knowledge and Recap
Probability Theory
Introduction to GNN Note 1
Basic Knowledge and Recap
Linear Algebra
Introduction to GNN Note 1
Basic Knowledge and Recap
Reinforcement Learning
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
In chemistry
Algorithm for Reinforcement Learning 3
Control
Algorithm for Reinforcement Learning 2
Value Prediction
Algorithm for Reinforcement Learning 1
Markov Decision Processes
David Silver - Reinforcement Learning Note 4
Model-Free Prediction - MC and TD Learning
David Silver - Reinforcement Learning Note 3
Policy and Value Iteration using Dynamic Programming
A Brief Survey of Deep Reinforcement Learning
Algorithms and Challenges
David Silver - Reinforcement Learning Note 2
Markov Decision Process
David Silver - Reinforcement Learning Note 1
Introduction What and Why
Beginner's Guide to Deep Reinforcement Learning
Basic Knowledge
Learning to Navigate the Synthetiaclly Accessible Chemical Space Using Reinforcement Learning
Embedding the concept of synthetic accessibility directly into the drug design system
Chemical Reaction
Learning to Navigate the Synthetiaclly Accessible Chemical Space Using Reinforcement Learning
Embedding the concept of synthetic accessibility directly into the drug design system
Drug Design
Learning to Navigate the Synthetiaclly Accessible Chemical Space Using Reinforcement Learning
Embedding the concept of synthetic accessibility directly into the drug design system
Markov Decision Process
Algorithm for Reinforcement Learning 1
Markov Decision Processes
David Silver - Reinforcement Learning Note 2
Markov Decision Process
Dynamic Programming
David Silver - Reinforcement Learning Note 3
Policy and Value Iteration using Dynamic Programming
Monte-Carlo
David Silver - Reinforcement Learning Note 4
Model-Free Prediction - MC and TD Learning
Temporal Difference
David Silver - Reinforcement Learning Note 4
Model-Free Prediction - MC and TD Learning
Online Learning
Algorithm for Reinforcement Learning 3
Control
Active Learning
Algorithm for Reinforcement Learning 3
Control
Graph Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
In chemistry
Paper Reading
MLP-Mixer An all-MLP Architecture for Vision
AE2-Nets Autoencoder in Autoencoder Networks
Multi-view Deep Subspace Clustering Networks
Data Collaboration Analysis Framework
Using Centralization of Individual intermediate Representations for Distributed Data Sets
A Survey of Monte Carlo Tree Search Methods -- Part 3
A Survey of Monte Carlo Tree Search Methods -- Part 2
A Survey of Monte Carlo Tree Search Methods -- Part 1
VGDL范例解读
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
In chemistry
Games
A Survey of Monte Carlo Tree Search Methods -- Part 3
A Survey of Monte Carlo Tree Search Methods -- Part 2
A Survey of Monte Carlo Tree Search Methods -- Part 1
GVGAI Book Chapter 3 - Planning in GVGAI
VGDL范例解读
GVGAI Book Chapter 2 - VGDL and the GVGAI Framework -- Exercises
GVGAI
GVGAI Book Chapter 3 - Planning in GVGAI
GVGAI Book Chapter 2 - VGDL and the GVGAI Framework -- Exercises
VGDL
GVGAI Book Chapter 3 - Planning in GVGAI
VGDL范例解读
GVGAI Book Chapter 2 - VGDL and the GVGAI Framework -- Exercises
MCTS
A Survey of Monte Carlo Tree Search Methods -- Part 3
A Survey of Monte Carlo Tree Search Methods -- Part 2
A Survey of Monte Carlo Tree Search Methods -- Part 1
Data Collaboration
Data Collaboration Analysis Framework
Using Centralization of Individual intermediate Representations for Distributed Data Sets
Dimentional Reduction
Data Collaboration Analysis Framework
Using Centralization of Individual intermediate Representations for Distributed Data Sets
Clustering
A Survey of Clustering with Deep Learning from the Perspective of Network Architecture
Unsupervised Machine Learning in Political and Social Research 2 Setting the Stage
Unsupervised Machine Learning in Political and Social Research 1 Introduction
AE2-Nets Autoencoder in Autoencoder Networks
Multi-view Deep Subspace Clustering Networks
Autoencoder
AE2-Nets Autoencoder in Autoencoder Networks
MLP
MLP-Mixer An all-MLP Architecture for Vision
Unsupervised Machine Learning
Unsupervised Feature Learning and Deep Learning
A Survey of Clustering with Deep Learning from the Perspective of Network Architecture
Unsupervised Machine Learning in Political and Social Research 2 Setting the Stage
Unsupervised Machine Learning in Political and Social Research 1 Introduction
Social Science
A Survey of Clustering with Deep Learning from the Perspective of Network Architecture
Unsupervised Machine Learning in Political and Social Research 2 Setting the Stage
Unsupervised Machine Learning in Political and Social Research 1 Introduction