DeepLearningPT / deep-learning-resourcesLinks
Repo containing useful deep learning resources for everyone
☆12Updated 3 years ago
Alternatives and similar repositories for deep-learning-resources
Users that are interested in deep-learning-resources are comparing it to the libraries listed below
Sorting:
- Interpretability Methods for tf.keras models with Tensorflow 2.x☆1,028Updated last year
- Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)☆287Updated 4 years ago
- Code for the TCAV ML interpretability project☆642Updated 10 months ago
- This is the code for our paper DAAIN: Detection of Anomalous and AdversarialInput using Normalizing Flows☆15Updated 4 years ago
- LLM evaluation for Macedonian language.☆12Updated 4 months ago
- Estimates the size of a PyTorch model in memory☆357Updated 5 years ago
- Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers☆216Updated last year
- Implementation for the Lookahead Optimizer.☆240Updated 3 years ago
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆329Updated 2 years ago
- Enabling easy statistical significance testing for deep neural networks.☆335Updated 11 months ago
- Streaming over lightweight data transformations☆265Updated last week
- Unit Testing for pytorch, based on mltest☆310Updated 4 years ago
- A PyTorch implementation of Neighbourhood Components Analysis.☆400Updated 4 years ago
- 🏔️ Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations☆115Updated 5 years ago
- This is a repository for all workshop related materials.☆222Updated last year
- Compute receptive fields of your favorite convnets☆442Updated 4 years ago
- torchbearer: A model fitting library for PyTorch☆640Updated last year
- Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data☆304Updated 4 years ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆752Updated 4 years ago
- Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…☆331Updated 2 years ago
- Storage for presentation slides of previous talks and events.☆28Updated 6 years ago
- ktrain is a Python library that makes deep learning and AI more accessible and easier to apply☆1,260Updated 4 months ago
- Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory☆438Updated 9 months ago
- Plots the change of the loss function of a Keras model when the learning rate is exponentially increasing.☆256Updated last week
- The WeightWatcher tool for predicting the accuracy of Deep Neural Networks☆1,604Updated this week
- The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends☆77Updated 6 months ago
- ☆226Updated 10 months ago
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆570Updated 2 years ago
- a distributed Hyperband implementation on Steroids☆616Updated 2 years ago
- ☆304Updated 4 years ago