keunwoochoi / tokenizer-vs-tokenizerLinks
☆14Updated last year
Alternatives and similar repositories for tokenizer-vs-tokenizer
Users that are interested in tokenizer-vs-tokenizer are comparing it to the libraries listed below
Sorting:
- ☆53Updated 8 months ago
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆58Updated last year
- Training and evaluation code for the paper "Headless Language Models: Learning without Predicting with Contrastive Weight Tying" (https:/…☆27Updated last year
- Various transformers for FSDP research☆37Updated 2 years ago
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- Implementation of a Light Recurrent Unit in Pytorch☆48Updated 8 months ago
- Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…☆54Updated last year
- Implementation of GateLoop Transformer in Pytorch and Jax☆89Updated last year
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆66Updated 8 months ago
- Utilities for PyTorch distributed☆24Updated 3 months ago
- Latent Diffusion Language Models☆68Updated last year
- QAmeleon introduces synthetic multilingual QA data using PaLM, a 540B large language model. This dataset was generated by prompt tuning P…☆34Updated last year
- An implementation of the Llama architecture, to instruct and delight☆21Updated 3 weeks ago
- Train a SmolLM-style llm on fineweb-edu in JAX/Flax with an assortment of optimizers.☆17Updated 3 months ago
- A fast implementation of T5/UL2 in PyTorch using Flash Attention☆105Updated 3 months ago
- LayerNorm(SmallInit(Embedding)) in a Transformer to improve convergence☆60Updated 3 years ago
- ☆20Updated last year
- Implementation of an Attention layer where each head can attend to more than just one token, using coordinate descent to pick topk