alan-turing-institute / prompto
An open source library for asynchronous querying of LLM endpoints
☆19Updated last week
Related projects: ⓘ
- ☆39Updated 2 months ago
- Code for minimum-entropy coupling.☆29Updated 2 months ago
- Named Tensors for Legible Deep Learning in JAX☆147Updated this week
- Neural Networks for JAX☆82Updated 2 months ago
- Information and materials for the Turing's "robots-in-disguise" reading group on fundamental AI research.☆29Updated this week
- ☆56Updated 2 years ago
- Learning Universal Predictors☆67Updated last month
- ☆91Updated last month
- ☆17Updated 4 months ago
- Scaling is a distributed training library and installable dependency designed to scale up neural networks, with a dedicated module for tr…☆38Updated 3 weeks ago
- Running Jax in PyTorch Lightning☆76Updated last year
- Graph neural networks in JAX.☆66Updated 3 months ago
- Cost aware hyperparameter tuning algorithm☆95Updated 2 months ago
- JAX Arrays for human consumption☆87Updated last year
- 🧠 Starter templates for doing interpretability research☆59Updated last year
- Sparse and discrete interpretability tool for neural networks☆51Updated 7 months ago
- Stochastic trace estimation using JAX☆11Updated 2 months ago
- Because we don't have enough time to read everything☆83Updated 2 weeks ago
- ☆180Updated 2 months ago
- ☆46Updated this week
- ☆238Updated 3 weeks ago
- Tangle Software Library☆22Updated 4 months ago
- A Python package of computer vision models for the Equinox ecosystem.☆100Updated 2 months ago
- ☆24Updated 5 months ago
- In which I learn about score functions and how they can be used to generate data.☆14Updated 5 months ago
- gzip Predicts Data-dependent Scaling Laws☆31Updated 3 months ago
- Einsum-like high-level array sharding API for JAX☆31Updated 2 months ago
- Automatically take good care of your preemptible TPUs☆28Updated last year
- Fine-grained, dynamic control of neural network topology in JAX.☆21Updated last year
- Multiple dispatch over abstract array types in JAX.☆100Updated last month