test-time-training / ttt-lm-jax
Official JAX implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States
β398Updated 7 months ago
Alternatives and similar repositories for ttt-lm-jax:
Users that are interested in ttt-lm-jax are comparing it to the libraries listed below
- Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden Statesβ1,144Updated 8 months ago
- [ICLR2025 Spotlightπ₯] Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parametersβ535Updated last month
- Muon optimizer: +>30% sample efficiency with <3% wallclock overheadβ521Updated 2 weeks ago
- [NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Modelsβ205Updated 3 weeks ago
- The official implementation of Tensor ProducT ATTenTion Transformer (T6)β336Updated last month
- Code for Adam-mini: Use Fewer Learning Rates To Gain More https://arxiv.org/abs/2406.16793β398Updated 3 months ago
- Quick implementation of nGPT, learning entirely on the hypersphere, from NvidiaAIβ276Updated this week
- Some preliminary explorations of Mamba's context scaling.β212Updated last year
- β261Updated last month
- β507Updated 7 months ago
- Annotated version of the Mamba paperβ475Updated last year
- β182Updated this week
- Implementation of π Ring Attention, from Liu et al. at Berkeley AI, in Pytorchβ506Updated 4 months ago
- Normalized Transformer (nGPT)β162Updated 4 months ago
- Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Modelsβ272Updated last month
- Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorchβ270Updated 11 months ago
- [ICLR 2025] Official PyTorch Implementation of Gated Delta Networks: Improving Mamba2 with Delta Ruleβ142Updated this week
- PyTorch Implementation of Jamba: "Jamba: A Hybrid Transformer-Mamba Language Model"β160Updated last month
- Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, sparsβ¦β307Updated 3 months ago
- Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAIβ982Updated this week
- Inference Speed Benchmark for Learning to (Learn at Test Time): RNNs with Expressive Hidden Statesβ63Updated 8 months ago
- PyTorch implementation of Infini-Transformer from "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attentionβ¦β287Updated 10 months ago
- Reading list for research topics in state-space modelsβ268Updated 2 months ago
- Helpful tools and examples for working with flex-attentionβ695Updated this week
- Official PyTorch Implementation of "The Hidden Attention of Mamba Models"β216Updated 9 months ago
- Simple and Effective Masked Diffusion Language Modelβ346Updated 2 weeks ago
- [ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptationβ740Updated 5 months ago
- β189Updated last year