unlearning-challenge / starting-kitLinks
Starting kit for the NeurIPS 2023 unlearning challenge
☆376Updated 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:
- Awesome Machine Unlearning (A Survey of Machine Unlearning)☆928Updated 3 weeks ago
- PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.☆67Updated 2 years ago
- Existing Literature about Machine Unlearning☆945Updated 5 months ago
- ☆77Updated 2 years ago
- Editing Models with Task Arithmetic☆532Updated 2 years ago
- ☆299Updated 3 weeks ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆252Updated last year
- List of ML conferences with important dates and accepted paper list☆208Updated last month
- A curated list of trustworthy deep learning papers. Daily updating...☆381Updated 3 weeks ago
- A fast, effective data attribution method for neural networks in PyTorch☆229Updated last year
- 💡 Adversarial attacks on explanations and how to defend them☆334Updated last year
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆390Updated last month
- Simulation framework for accelerating research in Private Federated Learning☆351Updated 3 months ago
- ☆249Updated 3 weeks ago
- 🧠 Starter templates for doing interpretability research☆76Updated 2 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆77Updated 3 years ago
- Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization☆345Updated last year
- Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"☆503Updated 2 years ago
- A curated list of awesome Fairness in AI resources☆332Updated 2 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆155Updated 3 years ago
- 👽 Out-of-Distribution Detection with PyTorch☆334Updated 3 weeks 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
- Differentially-private transformers using HuggingFace and Opacus☆146Updated last year
- Tools for understanding how transformer predictions are built layer-by-layer☆567Updated 6 months ago
- https://slds-lmu.github.io/seminar_multimodal_dl/☆171Updated 3 years ago
- Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, boo…☆976Updated 3 months ago
- Stanford NLP Python library for understanding and improving PyTorch models via interventions☆857Updated 2 weeks ago
- ☆50Updated last year
- A large labelled image dataset for benchmarking in federated learning☆104Updated last year
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆219Updated 7 months ago