greentfrapp / lucent
Lucid library adapted for PyTorch
☆608Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for lucent
- The correct way to resize images or tensors. For Numpy or Pytorch (differentiable).☆548Updated last year
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆344Updated 4 years ago
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)☆336Updated 3 months ago
- Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…☆301Updated 3 years ago
- Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.☆318Updated last year
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆473Updated 2 years ago
- Full-gradient saliency maps☆203Updated last year
- A library to inspect and extract intermediate layers of PyTorch models.☆470Updated 2 years ago
- Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)☆506Updated 3 months ago
- [CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.☆602Updated 2 years ago
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.☆203Updated last year
- Probing the representations of Vision Transformers.☆316Updated 2 years ago
- Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!☆378Updated 2 years ago
- An alternative to convolution in neural networks☆251Updated 7 months ago
- Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"☆436Updated last year
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆417Updated 2 years ago
- A Pytorch-Lightning implementation of self-supervised algorithms☆536Updated 2 years ago
- Visualization toolkit for neural networks in PyTorch! Demo -->☆735Updated last year
- PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understan…☆366Updated last year
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆980Updated 3 months ago
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)☆219Updated 2 years ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆551Updated 9 months ago
- Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improv…☆788Updated last year
- Gradient based Hyperparameter Tuning library in PyTorch☆289Updated 4 years ago
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆328Updated 2 years ago
- ☆466Updated 3 months ago
- Tensors, for human consumption☆1,113Updated 3 weeks ago
- An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up proc…☆191Updated 3 years ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆918Updated 10 months ago
- Compute receptive fields of your favorite convnets☆435Updated 3 years ago