sayakpaul / Adversarial-Examples-in-Deep-LearningLinks
Shows how to create basic image adversaries, and train adversarially robust image classifiers (to some extent).
☆12Updated 4 years ago
Alternatives and similar repositories for Adversarial-Examples-in-Deep-Learning
Users that are interested in Adversarial-Examples-in-Deep-Learning are comparing it to the libraries listed below
Sorting:
- Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.☆20Updated 3 years ago
- An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data☆37Updated 4 years ago
- Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.☆11Updated 5 years ago
- BERT Probe: A python package for probing attention based robustness to character and word based adversarial evaluation. Also, with recipe…☆18Updated 3 years ago
- Fourth place solution to the "OpenVaccine: COVID-19 mRNA Vaccine Degradation Prediction" organized by Stanford University and Kaggle☆19Updated 4 years ago
- Contains Colab Notebooks show cool use-cases of different GCP ML APIs.☆10Updated 4 years ago
- Shows how to do parameter ensembling using differential evolution.☆10Updated 3 years ago
- ☆19Updated 4 years ago
- This project shows how to build a simple handwriting recognizer in Keras with the IAM dataset.☆13Updated 3 years ago
- Companion Repo for the Vision Language Modelling YouTube series - https://bit.ly/3PsbsC2 - by Prithivi Da. Open to PRs and collaborations☆14Updated 2 years ago
- This repository hosts the code to port NumPy model weights of BiT-ResNets to TensorFlow SavedModel format.☆14Updated 3 years ago
- A framework for implementing equivariant DL☆10Updated 4 years ago
- ☆17Updated 4 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆30Updated 4 years ago
- The Concept Bottleneck Shift Detection (CBSD) methods for explaining and detecting various dataset shifts.☆14Updated 4 years ago
- A multi-label text classifier to predict the subject areas of arXiv papers from their abstract bodies.☆17Updated 3 years ago
- A deep learning library based on Pytorch focussed on low resource language research and robustness☆70Updated 3 years ago
- Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.☆31Updated 2 years ago
- PyTorch implementation of GLOM☆22Updated 3 years ago
- Unofficial Tensorflow-Keras implementation of Fastformer based on paper [Fastformer: Additive Attention Can Be All You Need](https://arxi…☆13Updated 3 years ago
- A neural network hyper parameter tuner☆30Updated last year
- NLP Examples using the 🤗 libraries☆41Updated 4 years ago
- Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.☆60Updated 3 years ago
- ☆18Updated last week
- Fastai community entry to 2020 Reproducibility Challenge☆17Updated 2 years ago
- Privacy-Preserving Bandits (MLSys'20)☆22Updated 2 years ago
- Visual Clustering: Clustering Plotted Data by Image Segmentation☆25Updated 4 months ago
- Hyperparameter tuning via uncertainty modeling☆47Updated last year
- This project presents a simple framework to retrieve images similar to a query image.☆28Updated 4 years ago
- Replication materials for "Identifying the Development and Application of Artificial Intelligence in Scientific Text"☆12Updated 5 years ago