EdinburghNLP / torch-adaptive-imleLinks
☆35Updated last year
Alternatives and similar repositories for torch-adaptive-imle
Users that are interested in torch-adaptive-imle are comparing it to the libraries listed below
Sorting:
- Evaluation of neuro-symbolic engines☆40Updated last year
- ☆237Updated last month
- A domain-specific probabilistic programming language for modeling and inference with language models☆140Updated 8 months ago
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆92Updated last year
- Library that contains implementations of machine learning components in the hyperbolic space☆144Updated last year
- Clustered Compositional Embeddings☆11Updated 2 years ago
- Code for minimum-entropy coupling.☆32Updated last week
- The Energy Transformer block, in JAX☆63Updated 2 years ago
- [NeurIPS 2023] Learning Transformer Programs☆162Updated last year
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated 2 years ago
- A MAD laboratory to improve AI architecture designs 🧪☆136Updated last year
- ☆69Updated 9 months ago
- An annotated implementation of the Hyena Hierarchy paper☆34Updated 2 years ago
- unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆81Updated 3 years ago
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆55Updated last year
- Learning Universal Predictors☆81Updated last year
- ☆167Updated 2 years ago
- ☆69Updated last year
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆40Updated 2 years ago
- A centralized place for deep thinking code and experiments☆89Updated 2 years ago
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆20Updated last year
- Understanding how features learned by neural networks evolve throughout training☆41Updated last year
- Extending Conformal Prediction to LLMs☆68Updated last year
- Official code for "Algorithmic Capabilities of Random Transformers" (NeurIPS 2024)☆16Updated last year
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)☆198Updated last year
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- ☆33Updated last year
- Parallelizing non-linear sequential models over the sequence length☆56Updated 6 months ago
- We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.☆136Updated last year
- A Python package for generating concise, high-quality summaries of a probability distribution☆57Updated 2 months ago