rachtsy / KPCA_codeLinks
Implementation for robust ViT and scaled attention
☆21Updated 7 months ago
Alternatives and similar repositories for KPCA_code
Users that are interested in KPCA_code are comparing it to the libraries listed below
Sorting:
- Minimum Description Length probing for neural network representations☆20Updated 9 months ago
- Fork of Flame repo for training of some new stuff in development☆19Updated last week
- Explorations into the recently proposed Taylor Series Linear Attention☆99Updated last year
- Landing repository for the paper "Softpick: No Attention Sink, No Massive Activations with Rectified Softmax"☆85Updated 2 months ago
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆103Updated 10 months ago
- H-Net Dynamic Hierarchical Architecture☆80Updated 2 months ago
- ☆82Updated last year
- Implementation of Mind Evolution, Evolving Deeper LLM Thinking, from Deepmind☆57Updated 5 months ago
- Collection of autoregressive model implementation☆86Updated 6 months ago
- Code and pretrained models for the paper: "MatMamba: A Matryoshka State Space Model"☆61Updated last year
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆131Updated 2 weeks ago
- Experimental scripts for researching data adaptive learning rate scheduling.☆22Updated 2 years ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆90Updated last year
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆68Updated last year
- ☆61Updated last year
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 10 months ago
- ☆88Updated last year
- Source code for the paper "Positional Attention: Expressivity and Learnability of Algorithmic Computation"☆14Updated 5 months ago
- ☆58Updated this week
- 📄Small Batch Size Training for Language Models☆63Updated last month
- ☆23Updated 11 months ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆85Updated last year
- Understanding how features learned by neural networks evolve throughout training☆39Updated last year
- A byte-level decoder architecture that matches the performance of tokenized Transformers.☆66Updated 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
- ☆13Updated 5 months ago
- ☆13Updated 7 months ago
- ☆56Updated 11 months ago
- Self contained pytorch implementation of a sinkhorn based router, for mixture of experts or otherwise☆39Updated last year
- Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…☆52Updated 2 years ago