Tools and scripts for experimenting with Transformers: Bert, T5...
☆61Jan 6, 2024Updated 2 years ago
Alternatives and similar repositories for t5-experiments
Users that are interested in t5-experiments are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICML 24 NGSM workshop] Associative Recurrent Memory Transformer implementation and scripts for training and evaluation☆68Aug 14, 2026Updated 2 months ago
- [NeurIPS 22] [AAAI 24] Recurrent Transformer-based long-context architecture.☆776Oct 25, 2024Updated 2 years ago
- MMLU eval for RU/EN☆16Jul 31, 2023Updated 3 years ago
- Implementation of SelfExtend from the paper "LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning" from Pytorch and Zeta☆13Nov 11, 2024Updated last year
- ☆18Mar 20, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆15Nov 20, 2023Updated 2 years ago
- Recurrent Memory Transformer☆160Aug 14, 2023Updated 3 years ago
- Implementation of the LDP module block in PyTorch and Zeta from the paper: "MobileVLM: A Fast, Strong and Open Vision Language Assistant …☆15Mar 11, 2024Updated 2 years ago
- ☆13Feb 20, 2020Updated 6 years ago
- Chatsky is a free and open-source software stack for creating chatbots, released under the terms of Apache License 2.0.☆140Jul 8, 2025Updated last year
- An automatically annotated sentiment analysis dataset of product reviews in Russian.☆17Oct 25, 2020Updated 6 years ago
- ☆13Apr 23, 2025Updated last year
- The official repository for Efficient Long-Text Understanding Using Short-Text Models (Ivgi et al., 2022) paper☆70May 14, 2023Updated 3 years ago
- an implementation of paper"Retentive Network: A Successor to Transformer for Large Language Models" https://arxiv.org/pdf/2307.08621.pdf☆11Jul 25, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for AINL2018 paper Deep Convolutional Networks for Supervised Morpheme Segmentation of Russian Language☆26Aug 23, 2019Updated 7 years ago