rimads / avey-dpaLinks
Code for the paper Don't Pay Attention
☆50Updated 2 months ago
Alternatives and similar repositories for avey-dpa
Users that are interested in avey-dpa are comparing it to the libraries listed below
Sorting:
- Tiled Flash Linear Attention library for fast and efficient mLSTM Kernels.☆78Updated 2 weeks ago
- Tiny re-implementation of MDM in style of LLaDA and nano-gpt speedrun☆57Updated 9 months ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆132Updated last month
- ☆34Updated last year
- ☆82Updated last year
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆103Updated 11 months ago
- Collection of autoregressive model implementation☆85Updated 7 months ago
- ☆19Updated last week
- ☆89Updated last year
- H-Net Dynamic Hierarchical Architecture☆80Updated 3 months ago
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 10 months ago
- Train a SmolLM-style llm on fineweb-edu in JAX/Flax with an assortment of optimizers.☆18Updated 4 months ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆91Updated last year
- https://x.com/BlinkDL_AI/status/1884768989743882276☆28Updated 7 months ago
- Triton Implementation of HyperAttention Algorithm☆48Updated 2 years ago
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆132Updated last year
- ☆68Updated last year
- Code for the paper "Function-Space Learning Rates"☆23Updated 6 months ago
- Transformer with Mu-Parameterization, implemented in Jax/Flax. Supports FSDP on TPU pods.☆32Updated 6 months ago
- Lightweight package that tracks and summarizes code changes using LLMs (Large Language Models)☆34Updated 9 months ago
- Focused on fast experimentation and simplicity☆76Updated 11 months ago
- ☆47Updated last year
- A byte-level decoder architecture that matches the performance of tokenized Transformers.☆66Updated last year
- supporting pytorch FSDP for optimizers☆84Updated last year
- Explorations into adversarial losses on top of autoregressive loss for language modeling☆38Updated 9 months ago
- RWKV-7: Surpassing GPT☆101Updated last year
- ☆21Updated last year
- Efficiently discovering algorithms via LLMs with evolutionary search and reinforcement learning.☆118Updated 3 weeks ago
- NanoGPT-speedrunning for the poor T4 enjoyers☆73Updated 7 months ago
- Mixture of A Million Experts☆50Updated last year