PAIR-code / tiny-transformersLinks
☆22Updated last week
Alternatives and similar repositories for tiny-transformers
Users that are interested in tiny-transformers are comparing it to the libraries listed below
Sorting:
- Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️☆55Updated 2 years ago
- DiCE: The Infinitely Differentiable Monte-Carlo Estimator☆32Updated 2 years ago
- Utilities for Training Very Large Models☆58Updated last year
- AdaCat☆49Updated 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
- Code for the paper "On the Expressivity Role of LayerNorm in Transformers' Attention" (Findings of ACL'2023)☆57Updated last year
- Latent Diffusion Language Models☆69Updated 2 years ago
- Experimental scripts for researching data adaptive learning rate scheduling.☆22Updated 2 years ago
- An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols☆16Updated 4 years ago
- Implementation of Metaformer, but in an autoregressive manner☆26Updated 3 years ago
- A case study of efficient training of large language models using commodity hardware.☆68Updated 3 years ago
- Memory-efficient transformer. Work in progress.☆19Updated 3 years ago
- Re-implementation of 'Grokking: Generalization beyond overfitting on small algorithmic datasets'☆39Updated 3 years ago
- Implementation of a holodeck, written in Pytorch☆18Updated 2 years ago
- A sample pattern for running CI tests on Modal☆18Updated 6 months ago
- ☆27Updated last year
- Deep Networks Grok All the Time and Here is Why☆37Updated last year
- A dashboard for exploring timm learning rate schedulers☆19Updated 11 months ago
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆55Updated 7 months ago
- ☆57Updated last month
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆45Updated 2 years ago
- ☆18Updated last year
- ☆68Updated 11 months ago
- Google Research☆46Updated 3 years ago
- RWKV model implementation☆38Updated 2 years ago
- ☆34Updated last year
- Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch☆39Updated 3 years ago
- Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"☆31Updated 4 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- Another attempt at a long-context / efficient transformer by me☆38Updated 3 years ago