vahidk / EffectivePyTorch
PyTorch tutorials and best practices.
☆1,682Updated last month
Alternatives and similar repositories for EffectivePyTorch:
Users that are interested in EffectivePyTorch are comparing it to the libraries listed below
- An unofficial styleguide and best practices summary for PyTorch☆1,977Updated 3 years ago
- Pytorch Lightning code guideline for conferences☆1,261Updated last year
- torch-optimizer -- collection of optimizers for Pytorch☆3,103Updated last year
- Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)☆2,714Updated last year
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,720Updated 3 weeks ago
- 🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code☆2,806Updated last year
- A small package to create visualizations of PyTorch execution graphs☆3,342Updated 3 months ago
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆571Updated 2 years ago
- Accelerated deep learning R&D☆3,348Updated last year
- Notes and summaries of various ML, Computer Vision & NLP papers.☆560Updated 2 years ago
- A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.☆900Updated last year
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,439Updated last year
- ☆797Updated 2 weeks ago
- A Pytorch Computer Vision template to quick start your next project! 🚀🚀☆352Updated 9 months ago
- The Hitchiker's Guide to PyTorch☆1,197Updated 3 years ago
- Model interpretability and understanding for PyTorch☆5,192Updated this week
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,038Updated last year
- The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflo…☆805Updated 3 years ago
- In-depth tutorials for implementing deep learning models on your own with PyTorch.☆1,540Updated last year
- A PyTorch Library for Meta-learning Research☆2,762Updated 10 months ago
- Lab materials for the Full Stack Deep Learning Course☆1,209Updated 2 years ago
- On the Variance of the Adaptive Learning Rate and Beyond☆2,548Updated 3 years ago
- Papers & presentation materials from Hugging Face's internal science day☆2,046Updated 4 years ago
- Bayesian optimization in PyTorch☆3,249Updated this week
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,613Updated 3 years ago
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,449Updated last year
- 🔥 A collection of PyTorch notebooks for learning and practicing deep learning☆562Updated 2 years ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,654Updated this week
- The WeightWatcher tool for predicting the accuracy of Deep Neural Networks☆1,580Updated 7 months ago
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,826Updated last year