epfml / getting-startedLinks
☆25Updated 3 months ago
Alternatives and similar repositories for getting-started
Users that are interested in getting-started are comparing it to the libraries listed below
Sorting:
- ☆32Updated 11 months ago
- 👋 Overcomplete is a Vision-based SAE Toolbox☆96Updated 3 months ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆84Updated last year
- Efficient empirical NTKs in PyTorch☆22Updated 3 years ago
- ☆108Updated 8 months ago
- [ICLR 23 spotlight] An automatic and efficient tool to describe functionalities of individual neurons in DNNs☆55Updated last year
- Conformal Language Modeling☆32Updated last year
- A fast, effective data attribution method for neural networks in PyTorch☆220Updated 11 months ago
- Implementation of Gradient Information Optimization (GIO) for effective and scalable training data selection☆14Updated 2 years ago
- ☆241Updated last year
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆196Updated 3 months ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆110Updated 2 years ago
- ☆33Updated 9 months ago
- ☆33Updated last year
- TopoTrans: Optimal Transport meets Topological Data Analysis☆14Updated 2 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 4 years ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆105Updated 2 years ago
- ☆49Updated 9 months ago
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆32Updated 2 years ago
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆29Updated last year
- Bayesian low-rank adaptation for large language models☆26Updated last year
- (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation☆42Updated last year
- NeuroSurgeon is a package that enables researchers to uncover and manipulate subnetworks within models in Huggingface Transformers☆41Updated 8 months ago
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆116Updated last year
- ☆78Updated 3 years ago
- ☆133Updated 2 weeks ago
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 pa…☆69Updated 3 weeks ago
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆92Updated 2 weeks ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆76Updated last year