- Which pytorch model training library are you using? https://neptune.ai/blog/model-training-libraries-pytorch-ecosystem 6 comments deeplearning
Linking pages
- GitHub - skorch-dev/skorch: A scikit-learn compatible neural network library that wraps PyTorch https://github.com/dnouri/skorch 0 comments
- GitHub - pytorch/ignite: High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. https://github.com/pytorch/ignite 0 comments
Linked pages
- fast.ai – fast.ai—Making neural nets uncool again https://fast.ai 375 comments
- Practical Deep Learning for Coders - Practical Deep Learning https://course.fast.ai 177 comments
- [2002.04688] fastai: A Layered API for Deep Learning https://arxiv.org/abs/2002.04688 42 comments
- A Recipe for Training Neural Networks http://karpathy.github.io/2019/04/25/recipe/#2-set-up-the-end-to-end-trainingevaluation-skeleton--get-dumb-baselines 39 comments
- GitHub - huggingface/transformers: 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. https://github.com/huggingface/transformers 26 comments
- ImageNet http://image-net.org/index 12 comments
- GitHub - qubvel/segmentation_models.pytorch: Segmentation models with pretrained backbones. PyTorch. https://github.com/qubvel/segmentation_models.pytorch 9 comments
- Weights & Biases – Developer tools for ML https://wandb.com 4 comments
- GitHub - fastai/fastai: The fastai deep learning library https://github.com/fastai/fastai 0 comments
- 🦄 How to build a State-of-the-Art Conversational AI with Transfer Learning | by Thomas Wolf | HuggingFace | Medium https://medium.com/huggingface/how-to-build-a-state-of-the-art-conversational-ai-with-transfer-learning-2d818ac26313 0 comments
- Ignite Your Networks! — PyTorch-Ignite v0.4.10 Documentation https://pytorch.org/ignite/ 0 comments
- How To Train A GAN On 128 GPUs Using PyTorch | by William Falcon | Towards Data Science https://towardsdatascience.com/how-to-train-a-gan-on-128-gpus-using-pytorch-9a5b27a52c73 0 comments
- MNIST handwritten digit database, Yann LeCun, Corinna Cortes and Chris Burges http://yann.lecun.com/exdb/mnist/ 0 comments
- GitHub - albumentations-team/albumentations: Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125 https://github.com/albu/albumentations 0 comments
- GitHub - Lightning-AI/lightning: Deep learning framework to train, deploy, and ship AI products Lightning fast. https://github.com/PyTorchLightning/pytorch-lightning 0 comments
- GitHub - pytorch/ignite: High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. https://github.com/pytorch/ignite 0 comments
- neptune.ai | The MLOps stack component for experiment tracking https://neptune.ai 0 comments
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