Linking pages
- Keras or PyTorch as your first deep learning framework - deepsense.ai https://deepsense.ai/keras-or-pytorch/ 137 comments
- GitHub - ahkarami/Deep-Learning-in-Production: In this repository, I will share some useful notes and references about deploying deep learning-based models in production. https://github.com/ahkarami/Deep-Learning-in-Production 2 comments
Linked pages
- libjpeg-turbo | Main / libjpeg-turbo http://www.libjpeg-turbo.org/ 25 comments
- GitHub - msalvaris/gpu_monitor: Monitor your GPUs whether they are on a single computer or in a cluster https://github.com/msalvaris/gpu_monitor 12 comments
- GitHub - horovod/horovod: Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. https://github.com/uber/horovod 9 comments
- [1608.06993] Densely Connected Convolutional Networks https://arxiv.org/abs/1608.06993 3 comments
- GitHub - ilkarman/DeepLearningFrameworks: Demo of running NNs across different frameworks https://github.com/ilkarman/DeepLearningFrameworks 0 comments
- [1711.05225] CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning https://arxiv.org/abs/1711.05225 0 comments
- Comparing Deep Learning Frameworks: A Rosetta Stone Approach | Microsoft Learn https://blogs.technet.microsoft.com/machinelearning/2018/03/14/comparing-deep-learning-frameworks-a-rosetta-stone-approach/ 0 comments
- GitHub - chainer/chainercv: ChainerCV: a Library for Deep Learning in Computer Vision https://github.com/chainer/chainercv 0 comments
- GitHub - NVIDIA/DALI: A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications. https://github.com/NVIDIA/DALI 0 comments
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