ethancaballero / broken_neural_scaling_lawsLinks
Code Release for "Broken Neural Scaling Laws" (BNSL) paper
☆59Updated last year
Alternatives and similar repositories for broken_neural_scaling_laws
Users that are interested in broken_neural_scaling_laws are comparing it to the libraries listed below
Sorting:
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆108Updated last year
- Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023☆137Updated last year
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 2 years ago
- ☆45Updated last year
- ☆53Updated last year
- Repository for the code of the "PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided Decoding" paper, NAACL'22☆66Updated 2 years ago
- ☆84Updated last year
- An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols☆16Updated 4 years ago
- Google Research☆45Updated 2 years ago
- Sparse and discrete interpretability tool for neural networks☆63Updated last year
- ☆57Updated 11 months ago
- The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".☆33Updated 3 months ago
- [NeurIPS 2023] Learning Transformer Programs☆163Updated last year
- Experiments on the impact of depth in transformers and SSMs.☆33Updated 10 months ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆101Updated 2 years 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
- Blog post☆17Updated last year
- A Toolkit for Distributional Control of Generative Models☆73Updated last month
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32Updated last year
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆88Updated last year
- ☆54Updated 2 years ago
- Universal Neurons in GPT2 Language Models☆30Updated last year
- Standalone Product Key Memory module in Pytorch - for augmenting Transformer models☆82Updated last year
- Codes and files for the paper Are Emergent Abilities in Large Language Models just In-Context Learning☆33Updated 8 months ago
- ☆32Updated last year
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆62Updated 4 years ago
- unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆79Updated 3 years ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆50Updated 3 years ago
- ☆49Updated last year
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆82Updated 10 months ago