snu-mllab / Targeted-Cause-Discovery
Official implementation for "Targeted Cause Discovery with Data-Driven Learning"
☆23Updated 8 months ago
Alternatives and similar repositories for Targeted-Cause-Discovery
Users that are interested in Targeted-Cause-Discovery are comparing it to the libraries listed below
Sorting:
- ☆81Updated last year
- Sparse and discrete interpretability tool for neural networks☆62Updated last year
- ☆31Updated last year
- [ICLR 2025] Monet: Mixture of Monosemantic Experts for Transformers☆68Updated 3 months ago
- Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks" [to appear at ICLR 2025]☆19Updated 2 months ago
- Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"☆51Updated 11 months ago
- Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…☆53Updated last year
- Official implementation of FIND (NeurIPS '23) Function Interpretation Benchmark and Automated Interpretability Agents☆49Updated 7 months ago
- Implementation of the general framework for AMIE, from the paper "Towards Conversational Diagnostic AI", out of Google Deepmind☆62Updated 8 months ago
- Personal implementation of ASIF by Antonio Norelli☆25Updated 11 months ago
- ☆93Updated 3 months ago
- Model Stock: All we need is just a few fine-tuned models☆114Updated 7 months ago
- ☆53Updated 7 months ago
- PyTorch library for Active Fine-Tuning☆72Updated 3 months ago
- ☆31Updated 4 months ago
- Official implementation of "BERTs are Generative In-Context Learners"☆27Updated 2 months ago
- ☆33Updated 8 months ago
- Simple implementation of muP, based on Spectral Condition for Feature Learning. The implementation is SGD only, dont use it for Adam☆76Updated 9 months ago
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆79Updated last month
- ICLR 2025 - official implementation for "I-Con: A Unifying Framework for Representation Learning"☆85Updated this week
- Official implementation of MAIA, A Multimodal Automated Interpretability Agent☆80Updated 2 months ago
- HGRN2: Gated Linear RNNs with State Expansion☆54Updated 8 months ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆100Updated 2 years ago
- Language models scale reliably with over-training and on downstream tasks☆97Updated last year
- Implementation of Bitune: Bidirectional Instruction-Tuning☆19Updated 11 months ago
- Universal Neurons in GPT2 Language Models☆29Updated 11 months ago
- ☆51Updated 11 months ago
- Code and pretrained models for the paper: "MatMamba: A Matryoshka State Space Model"☆59Updated 5 months ago
- Deep Networks Grok All the Time and Here is Why☆34Updated 11 months ago
- Extending Conformal Prediction to LLMs☆66Updated 10 months ago