stanislavfort / OpenAI_CLIP_adversarial_examplesLinks
Developing adversarial examples and showing their semantic generalization for the OpenAI CLIP model (https://github.com/openai/CLIP)
☆26Updated 4 years ago
Alternatives and similar repositories for OpenAI_CLIP_adversarial_examples
Users that are interested in OpenAI_CLIP_adversarial_examples are comparing it to the libraries listed below
Sorting:
- ☆96Updated 3 years ago
- codebase for the SIMAT dataset and evaluation☆38Updated 3 years ago
- Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"☆28Updated 5 years ago
- A python library for highly configurable transformers - easing model architecture search and experimentation.☆49Updated 3 years ago
- Load any clip model with a standardized interface☆21Updated last week
- Official code for the paper: "Metadata Archaeology"☆19Updated 2 years ago
- Official Code for MIMETIC^2☆12Updated 11 months ago
- AdaCat☆49Updated 3 years ago
- ☆25Updated last year
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 3 years ago
- Repository for the paper Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning☆36Updated 2 years ago
- Re-implementation of 'Grokking: Generalization beyond overfitting on small algorithmic datasets'☆39Updated 3 years ago
- ☆25Updated 5 years ago
- Google Research☆46Updated 3 years ago
- An open source implementation of CLIP.☆33Updated 2 years ago
- Command-line tool for downloading and extending the RedCaps dataset.☆49Updated last year
- Script and models for clustering LAION-400m CLIP embeddings.☆26Updated 3 years ago
- Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch☆59Updated 4 years ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆50Updated 3 years ago
- ☆63Updated 3 years ago
- Code for T-MARS data filtering☆35Updated 2 years ago
- Implementation of Retrieval-Augmented Denoising Diffusion Probabilistic Models in Pytorch☆65Updated 3 years ago
- PyTorch reimplementation of the paper "HyperMixer: An MLP-based Green AI Alternative to Transformers" [arXiv 2022].☆17Updated 3 years ago
- ☆21Updated 2 years ago
- Adversarial examples to the new ConvNeXt architecture☆20Updated 3 years ago
- This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"☆50Updated 4 years ago
- A GPT, made only of MLPs, in Jax☆58Updated 4 years ago
- [NeurIPS'21] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe …☆84Updated 3 years ago
- ESGD-M is a stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch.☆56Updated 3 years ago
- Procedural Image Programs for Representation Learning - NeurIPS 2022☆36Updated last year