unlearning-challenge / starting-kitLinks
Starting kit for the NeurIPS 2023 unlearning challenge
☆374Updated 2 years ago
Alternatives and similar repositories for starting-kit
Users that are interested in starting-kit are comparing it to the libraries listed below
Sorting:
- PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.☆67Updated 2 years ago
- Awesome Machine Unlearning (A Survey of Machine Unlearning)☆920Updated 3 weeks ago
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆383Updated last week
- Editing Models with Task Arithmetic☆524Updated 2 years ago
- ☆297Updated last week
- Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽💻☆480Updated 10 months ago
- List of ML conferences with important dates and accepted paper list☆199Updated last week
- Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization☆344Updated last year
- ☆76Updated 2 years ago
- Existing Literature about Machine Unlearning☆937Updated 4 months ago
- 🧠 Starter templates for doing interpretability research☆76Updated 2 years ago
- A curated list of trustworthy deep learning papers. Daily updating...☆381Updated this week
- Code release for "Dropout Reduces Underfitting"☆316Updated 2 years ago
- https://slds-lmu.github.io/seminar_multimodal_dl/☆171Updated 3 years ago
- Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"☆501Updated 2 years ago
- A fast, effective data attribution method for neural networks in PyTorch☆227Updated last year
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆153Updated 3 years ago
- 💡 Adversarial attacks on explanations and how to defend them☆332Updated last year
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆215Updated 6 months ago
- ViT Prisma is a mechanistic interpretability library for Vision and Video Transformers (ViTs).☆332Updated 5 months ago
- Probing the representations of Vision Transformers.☆336Updated 3 years ago
- ☆50Updated last year
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆252Updated last year
- Differentially-private transformers using HuggingFace and Opacus☆145Updated last year
- Conference schedule, top papers, and analysis of the data for NeurIPS 2023!☆120Updated 2 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…☆345Updated 2 years ago
- ☆244Updated 3 weeks ago
- NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day☆259Updated 2 years ago
- Tools for understanding how transformer predictions are built layer-by-layer☆560Updated 5 months ago
- 👽 Out-of-Distribution Detection with PyTorch☆332Updated 3 months ago