Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Pytorch | 67,356 | 146 | a day ago | 23 | August 10, 2022 | 12,055 | other | Python | ||
Tensors and Dynamic neural networks in Python with strong GPU acceleration | ||||||||||
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PyTorch Tutorial for Deep Learning Researchers | ||||||||||
Darknet | 24,202 | 12 days ago | 1,956 | other | C | |||||
Convolutional Neural Networks | ||||||||||
Openface | 14,689 | 7 days ago | 10 | apache-2.0 | Lua | |||||
Face recognition with deep neural networks. | ||||||||||
Neural Networks And Deep Learning | 14,073 | 3 months ago | 8 | Python | ||||||
Code samples for my book "Neural Networks and Deep Learning" | ||||||||||
Gnnpapers | 13,979 | 5 months ago | 10 | |||||||
Must-read papers on graph neural networks (GNN) | ||||||||||
Brain.js | 13,681 | 198 | 60 | a month ago | 70 | September 14, 2022 | 59 | mit | TypeScript | |
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js | ||||||||||
Playground | 10,968 | a month ago | 116 | apache-2.0 | TypeScript | |||||
Play with neural networks! | ||||||||||
Convnetjs | 10,389 | 4 | 8 months ago | 1 | June 11, 2015 | 74 | mit | JavaScript | ||
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser. | ||||||||||
Sonnet | 9,515 | 41 | 11 | 3 months ago | 27 | March 27, 2020 | 33 | apache-2.0 | Python | |
TensorFlow-based neural network library |
This case study explores recurrent neural networks on Neural Machine Translation. Upon starting the docker container, a jupyter server will start up. The Chapter 7 notebook will walk through the experiments performed.
Without GPU (CPU only):
If using a GPU:
The docker images for this case study are located on dockerhub. Running the commands below will automatically download and start a jupyter notebook.
Run the Docker image for CPU only computation:
docker run -p 8888:8888 --rm springernlp/chapter_7:latest
Run the Docker image with GPU access:
docker run --runtime=nvidia -p 8888:8888 --rm springernlp/chapter_7:latest
docker build -t chapter_7:latest .
More information can be found at: Deep Learning for NLP and Speech Recognition by Springer