unlearning-challenge / starting-kit
Starting kit for the NeurIPS 2023 unlearning challenge
☆376Updated last year
Related projects: ⓘ
- Awesome Machine Unlearning (A Survey of Machine Unlearning)☆701Updated this week
- Existing Literature about Machine Unlearning☆756Updated last month
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆242Updated 3 weeks ago
- Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽💻☆418Updated 8 months ago
- Stanford NLP Python Library for Understanding and Improving PyTorch Models via Interventions☆601Updated 2 weeks ago
- ☆268Updated last month
- A curated list of trustworthy deep learning papers. Daily updating...☆336Updated last week
- PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.☆66Updated last year
- Editing Models with Task Arithmetic☆405Updated 8 months ago
- ☆59Updated last year
- Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers,…☆680Updated last month
- https://slds-lmu.github.io/seminar_multimodal_dl/☆162Updated last year
- Representation Learning MSc course Summer Semester 2023☆68Updated last year
- The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”☆931Updated 7 months ago
- Conference schedule, top papers, and analysis of the data for NeurIPS 2023!☆103Updated 9 months ago
- Tools for understanding how transformer predictions are built layer-by-layer☆408Updated 3 months ago
- NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day☆248Updated 10 months ago
- List of AI Internships☆95Updated 11 months ago
- Material workbench for the master-level course CS-E4740 "Federated Learning"☆95Updated last month
- 👽 Out-of-Distribution Detection with PyTorch☆235Updated 2 weeks ago
- Simulation framework for accelerating research in Private Federated Learning☆285Updated this week
- Puzzles for exploring transformers☆293Updated last year
- Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization☆330Updated 2 months ago
- Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models☆627Updated 3 months ago
- A fast, effective data attribution method for neural networks in PyTorch☆170Updated this week
- What would you do with 1000 H100s...☆816Updated 8 months ago
- Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.☆185Updated 7 months ago
- Code repository for the paper - "Matryoshka Representation Learning"☆398Updated 7 months ago
- This repository collects all relevant resources about interpretability in LLMs☆230Updated last week
- ☆503Updated 6 months ago