yizhangzzz / transformers-legoLinks
☆18Updated 2 years ago
Alternatives and similar repositories for transformers-lego
Users that are interested in transformers-lego are comparing it to the libraries listed below
Sorting:
- PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023☆20Updated 2 years ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated last year
- Official code for the paper: "Metadata Archaeology"☆19Updated 2 years ago
- ☆29Updated 2 years ago
- Efficient Scaling laws and collaborative pretraining.☆16Updated 4 months ago
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆37Updated 2 years ago
- Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)☆11Updated last year
- ☆20Updated 11 months ago
- Code for minimum-entropy coupling.☆32Updated 11 months ago
- ☆13Updated 3 years ago
- ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…☆32Updated 2 years ago
- ☆18Updated 2 years ago
- Minimum Description Length probing for neural network representations☆18Updated 4 months ago
- ☆26Updated 2 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆57Updated last year
- 📰 Computing the information content of trained neural networks☆21Updated 3 years ago
- Codes for the paper The emergence of clusters in self-attention dynamics.☆16Updated last year
- Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks" [to appear at ICLR 2025]☆19Updated last month
- An ML research codebase built with friends :)☆24Updated 10 months ago
- ☆26Updated 4 months ago
- ☆23Updated 9 months ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- ☆22Updated 3 years ago
- Few-shot Learning with Auxiliary Data☆28Updated last year
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- [ICML'21 Oral] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding☆14Updated 4 years ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆30Updated 2 years ago
- ☆35Updated last year
- Google Research☆46Updated 2 years ago