samblouir / birdie
☆13Updated 2 months ago
Alternatives and similar repositories for birdie
Users that are interested in birdie are comparing it to the libraries listed below
Sorting:
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32Updated 11 months ago
- See https://github.com/cuda-mode/triton-index/ instead!☆11Updated last year
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- Transformer with Mu-Parameterization, implemented in Jax/Flax. Supports FSDP on TPU pods.☆30Updated this week
- Parallel Associative Scan for Language Models☆17Updated last year
- ☆32Updated 7 months ago
- Minimum Description Length probing for neural network representations☆19Updated 3 months ago
- Implementation of Hyena Hierarchy in JAX☆10Updated 2 years ago
- Source-to-Source Debuggable Derivatives in Pure Python☆15Updated last year
- Experiments on the impact of depth in transformers and SSMs.☆26Updated 6 months ago
- Code for the paper: https://arxiv.org/pdf/2309.06979.pdf☆19Updated 9 months ago
- My explorations into editing the knowledge and memories of an attention network☆34Updated 2 years ago
- JAX/Flax implementation of the Hyena Hierarchy☆34Updated 2 years ago
- ☆32Updated last year
- Code for the paper "Function-Space Learning Rates"☆20Updated last month
- ☆37Updated last year
- Using FlexAttention to compute attention with different masking patterns☆43Updated 7 months ago
- ☆30Updated 5 months ago
- ☆19Updated this week
- Code for the note "NF4 Isn't Information Theoretically Optimal (and that's Good)☆18Updated last year
- Codes and files for the paper Are Emergent Abilities in Large Language Models just In-Context Learning☆33Updated 4 months ago
- Blog post☆17Updated last year
- ☆31Updated last year
- ☆20Updated 11 months ago
- ☆18Updated last year
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Updated last year
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆36Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- Experiments on GPT-3's ability to fit numerical models in-context.☆14Updated 2 years ago
- LayerNorm(SmallInit(Embedding)) in a Transformer to improve convergence☆59Updated 3 years ago