Hypercl
Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fine-tuned for every task, that doesn't require an increase in the number of trainable weights and is robust against catastrophic forgetting.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Data Science Ipython Notebooks | 25,668 | 7 months ago | 34 | other | Python | |||||
| Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. | ||||||||||
| Convnetjs | 10,389 |  | 4 | 2 | 2 years ago | 1 | June 11, 2015 | 74 | mit | JavaScript |
| Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser. | ||||||||||
| Determined | 2,715 | 1 | 4 months ago | 221 | April 24, 2021 | 142 | apache-2.0 | Go | ||
| Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow. | ||||||||||
| Pipcook | 2,483 |  | 38 | 4 months ago | 104 | May 13, 2021 | 111 | apache-2.0 | TypeScript | |
| Machine learning platform for Web developers | ||||||||||
| Ml Class | 1,754 | 2 years ago | 7 | gpl-2.0 | Jupyter Notebook | |||||
| Machine learning lessons and teaching projects designed for engineers | ||||||||||
| Advanced Deep Learning With Keras | 1,534 | a year ago | 3 | mit | Python | |||||
| Advanced Deep Learning with Keras, published by Packt | ||||||||||
| Ipynb_playground | 1,530 | 6 years ago | 1 | Jupyter Notebook | ||||||
| Various ipython notebooks | ||||||||||
| Deep Learning Experiments | 1,050 | 5 months ago | 10 | mit | Jupyter Notebook | |||||
| Videos, notes and experiments to understand deep learning | ||||||||||
| Federated Learning Pytorch | 902 | a year ago | 25 | mit | Python | |||||
| Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data | ||||||||||
| Kur | 812 | 1 | 4 years ago | 11 | October 26, 2017 | 16 | apache-2.0 | Python | ||
| Descriptive Deep Learning | ||||||||||
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