conceptofmind / t5-pytorchLinks
Implementation of Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer in PyTorch.
☆51Updated last year
Alternatives and similar repositories for t5-pytorch
Users that are interested in t5-pytorch are comparing it to the libraries listed below
Sorting:
- ☆108Updated 2 years ago
- ☆103Updated last year
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆55Updated 2 years 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…☆52Updated 2 years ago
- Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023☆136Updated last year
- 32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.☆48Updated 2 years ago
- Here we will test various linear attention designs.☆61Updated last year
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆119Updated last year
- Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind☆177Updated last year
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆129Updated last year
- Diffusion Model Improvement Method☆34Updated 2 years ago
- Simple and efficient pytorch-native transformer training and inference (batched)☆78Updated last year
- Token Omission Via Attention☆127Updated last year
- Implementation of Infini-Transformer in Pytorch☆113Updated 9 months ago
- Code for paper "Patch-Level Training for Large Language Models"☆89Updated 11 months ago
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year
- [ICML'24 Oral] The official code of "DiJiang: Efficient Large Language Models through Compact Kernelization", a novel DCT-based linear at…☆104Updated last year
- Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment☆69Updated 2 years ago
- [ICLR 2025] Code for the paper "Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning"☆78Updated 8 months ago
- Mixture of A Million Experts☆48Updated last year
- This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.1…☆135Updated 2 years ago
- Griffin MQA + Hawk Linear RNN Hybrid☆89Updated last year
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆100Updated last year
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆84Updated last year
- ☆31Updated last year
- ☆29Updated 2 weeks ago
- ☆86Updated last year
- Replicating O1 inference-time scaling laws☆90Updated 11 months ago
- Sparse Backpropagation for Mixture-of-Expert Training☆29Updated last year
- Official Repository of Pretraining Without Attention (BiGS), BiGS is the first model to achieve BERT-level transfer learning on the GLUE …☆114Updated last year