Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
- transferlearning
- domain-adaptation
- transfer-learning
- survey
Repository Index
47,133 repositories indexed
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links to conference publications in graph-based deep learning
- graph-neural-networks
- graph-convolutional-networks
- graph
- deep-learning
Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”
Resources of Neural Rendering
- awesome-list
- neural-rendering
- computer-vision
- computer-graphics
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
- network-analysis
- spatial-analysis
- geographical-information-system
- graph-neural-networks
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
- kmer
- dnabert-model
- kmer-format
- gpu
Header-Only C++ Library for Graph Representation and Algorithms
- search-algorithm
- dijkstra-algorithm
- graph
- graph-algorithms
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
- graph
- high-performance
- machine-learning
- knowledge-graph
Code repository for "TrackEverything: Long Horizon Dense Tracking via De-Duplicating 3D Scene Representations"
- 3d-point-tracking
- point-tracking
A list of resources about deep learning solutions on 3D shape processing
- 3d-models
- 3d-reconstruction
- 3d-representation
- point-cloud
The PASS dataset: pretrained models and how to get the data
- computer-vision
- self-supervised-learning
- representation-learning
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
- go
- golang
- matrix
- scientific-computing
We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
- ai-aided-drug-discovery
- awesome
- drug-discovery
- molecular-docking
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
- epigenomics
- pattern-search
- data-visualization
- interactive-machine-learning
This is a german ELMo deep contextualized word representation. It is trained on a special German Wikipedia Text Corpus.
- bilm
- elmo
- tensorflow
- machine-learning