Deep Chemometrics
Using deep learning approaches and convolutional neural networks (CNN) for spectroscopical data (deep chemometrics)
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Dali | 4,770 |  | 4 | 3 months ago | 19 | December 06, 2023 | 209 | apache-2.0 | C++ | |
| A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications. | ||||||||||
| Deepconvsep | 397 | 4 years ago | 3 | agpl-3.0 | Python | |||||
| Deep Convolutional Neural Networks for Musical Source Separation | ||||||||||
| Amazon Forest Computer Vision | 364 | 4 years ago | 2 | Jupyter Notebook | ||||||
| Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks | ||||||||||
| Tensorlayer Tricks | 351 | 6 years ago | ||||||||
| How to use TensorLayer | ||||||||||
| Chainer Cifar10 | 132 | 5 years ago | 3 | Python | ||||||
| Various CNN models for CIFAR10 with Chainer | ||||||||||
| Flag | 94 | 2 years ago | 5 | mit | Python | |||||
| Official implementation of our FLAG paper (CVPR2022) | ||||||||||
| Coursera Gan Specialization | 93 | 3 years ago | mit | Jupyter Notebook | ||||||
| Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai | ||||||||||
| Gaug | 65 | 3 years ago | mit | Python | ||||||
| AAAI'21: Data Augmentation for Graph Neural Networks | ||||||||||
| Mnist Challenge | 64 | 5 years ago | mit | Jupyter Notebook | ||||||
| My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner] | ||||||||||
| Tsgm | 60 | 4 months ago | 3 | September 28, 2023 | 9 | apache-2.0 | Python | |||
| Generative modeling of synthetic time series data and time series augmentations | ||||||||||
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