NVIDIA / Diversity-SamplingLinks
GPU-accelerated algorithm for subsampling datasets while preserving diversity
☆27Updated 2 years ago
Alternatives and similar repositories for Diversity-Sampling
Users that are interested in Diversity-Sampling are comparing it to the libraries listed below
Sorting:
- A fast implementation of T5/UL2 in PyTorch using Flash Attention☆113Updated 3 months ago
- Fast, Modern, and Low Precision PyTorch Optimizers☆121Updated last month
- A toolkit implementing advanced methods to transfer models and model knowledge across tokenizers.☆61Updated 7 months ago
- Official implementation of "GPT or BERT: why not both?"☆61Updated 6 months ago
- Randomized Positional Encodings Boost Length Generalization of Transformers☆82Updated last year
- A byte-level decoder architecture that matches the performance of tokenized Transformers.☆67Updated last year
- some common Huggingface transformers in maximal update parametrization (µP)☆87Updated 3 years ago
- Official code release for "SuperBPE: Space Travel for Language Models"☆88Updated 3 weeks ago
- [EMNLP'23] Official Code for "FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models"☆36Updated 8 months ago
- Code for Zero-Shot Tokenizer Transfer☆142Updated last year
- Various transformers for FSDP research☆38Updated 3 years ago
- Experimental playground for benchmarking language model (LM) architectures, layers, and tricks on smaller datasets. Designed for flexible…☆97Updated last week
- Training and evaluation code for the paper "Headless Language Models: Learning without Predicting with Contrastive Weight Tying" (https:/…☆28Updated last year
- ☆82Updated last year
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆88Updated last year
- ☆77Updated last year
- [ICLR 2025] Monet: Mixture of Monosemantic Experts for Transformers☆75Updated 7 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…☆53Updated 2 years ago
- Repo for training MLMs, CLMs, or T5-type models on the OLM pretraining data, but it should work with any hugging face text dataset.☆96Updated 2 years ago
- Efficient Transformers with Dynamic Token Pooling☆67Updated 2 years ago
- ☆83Updated 2 years ago
- Truly flash T5 realization!☆72Updated last week
- Language models scale reliably with over-training and on downstream tasks☆99Updated last year
- Implementation of Infini-Transformer in Pytorch☆112Updated last year
- ☆124Updated last year
- Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023☆137Updated last year
- Implementation of Bitune: Bidirectional Instruction-Tuning☆23Updated 7 months ago
- One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation☆46Updated 3 months ago
- My explorations into editing the knowledge and memories of an attention network☆35Updated 3 years ago
- Implementation of the conditionally routed attention in the CoLT5 architecture, in Pytorch☆231Updated last year