deep learning for image processing including classification and object-detection etc.
- pytorch
- tensorflow2
- classification
- object-detection
Repository Index
47,133 repositories indexed
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PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
- pytorch
- pytorch-tutorials
- pytorch-tutorials-cn
- deep-learning
Translatedcvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 collection of papers/code/interpretations/live streams, compiled by the 极市 (Jishi, "Extreme Mart") team
- computer-vision
- cvpr2020
- cvpr2019
- deep-learning
Techniques for deep learning with satellite & aerial imagery
- deep-learning
- deep-neural-networks
- satellite-imagery
- pytorch
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
A collection of important graph embedding, classification and representation learning papers with implementations.
- graph2vec
- classification-algorithm
- graph-kernels
- weisfeiler-lehman
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
A curated list of action recognition and related area resources
- awesome-list
- awesome
- action-recognition
- action-classification
A curated list of deep learning image classification papers and codes
List of articles related to deep learning applied to music
- awesome
- awesome-list
- unicorns
- list
A collection of research papers on decision, classification and regression trees with implementations.
- decision-tree
- decision-tree-classifier
- gradient-boosting
- gradient-boosting-machine
A curated list of data mining papers about fraud detection.
- fraud-detection
- fraud-prevention
- fraud-checker
- fraud-management
A collection of computer vision pre-trained models.
A curated list of gradient boosting research papers with implementations.
- gradient-boosting
- gradient-boosting-classifier
- gradient-boosting-machine
- gradient-boosted-trees
Papers, code and datasets about deep learning and multi-modal learning for video analysis
- deep-learning
- video-analysis
- paper
- multimodal-learning
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
- svm
- regression
- classification
- machine-learning
An E2E tutorial to create a video game controller by creating a custom pose classifier using TF Lite.