☆260Jun 6, 2025Updated last year
Alternatives and similar repositories for meliad
Users that are interested in meliad are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate …☆646Jul 17, 2023Updated 3 years ago
- Implementation of Block Recurrent Transformer - Pytorch☆226Aug 20, 2024Updated last year
- The official Languini Kitchen repository☆14May 6, 2024Updated 2 years ago
- ☆54Jan 19, 2023Updated 3 years ago
- Source-to-Source Debuggable Derivatives in Pure Python☆15Jan 23, 2024Updated 2 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Sequence modeling with Mega.☆302Jan 28, 2023Updated 3 years ago
- Demonstration that finetuning RoPE model on larger sequences than the pre-trained model adapts the model context limit☆62Jun 21, 2023Updated 3 years ago
- ☆13Aug 23, 2024Updated last year
- FlexAttention w/ FlashAttention3 Support☆27Oct 5, 2024Updated last year
- An implementation of local windowed attention for language modeling☆503Jul 16, 2025Updated last year
- playing with gpt4☆13Mar 17, 2023Updated 3 years ago
- Convenient Text-to-Text Training for Transformers☆18Dec 10, 2021Updated 4 years ago
- ☆23Oct 15, 2022Updated 3 years ago
- HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation [ACL 2023]☆14Jul 11, 2023Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Understand and test language model architectures on synthetic tasks.☆283Mar 22, 2026Updated 4 months ago
- Convolutions for Sequence Modeling☆916Jun 13, 2024Updated 2 years ago
- Sequence Modeling with Structured State Spaces☆69Aug 2, 2022Updated 4 years ago
- Large Context Attention☆774Oct 13, 2025Updated 10 months ago
- Fine-Tuning Pre-trained Transformers into Decaying Fast Weights☆20Oct 9, 2022Updated 3 years ago
- ☆10Dec 17, 2020Updated 5 years ago
- ☆79Dec 7, 2023Updated 2 years ago
- ☆19Dec 4, 2025Updated 8 months ago
- ☆20May 30, 2024Updated 2 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.
- Task-based datasets, preprocessing, and evaluation for sequence models.☆595Jul 2, 2026Updated last month
- Official code for Long Expressive Memory (ICLR 2022, Spotlight)☆70Mar 11, 2022Updated 4 years ago
- Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification☆11Aug 12, 2023Updated 3 years ago
- Open weights language model from Google DeepMind, based on Griffin.☆684Feb 6, 2026Updated 6 months ago
- Scripts for downloading and pre-processing the `proof-pile`, a high quality dataset of mathematical text and code.☆22Nov 26, 2022Updated 3 years ago
- [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…☆68Apr 24, 2024Updated 2 years ago
- Code for the paper "Query-Key Normalization for Transformers"☆53Mar 6, 2021Updated 5 years ago
- Resources related to EMNLP 2021 paper "FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations"☆13Dec 14, 2021Updated 4 years ago
- Tutorial to pretrain & fine-tune a 🤗 Flax T5 model on a TPUv3-8 with GCP☆58Jul 28, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [ICLR 2023] Official implementation of Transnormer in our ICLR 2023 paper - Toeplitz Neural Network for Sequence Modeling☆80Apr 24, 2024Updated 2 years ago
- Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch☆879Oct 30, 2023Updated 2 years ago
- The accompanying code for "Memory-efficient Transformers via Top-k Attention" (Ankit Gupta, Guy Dar, Shaya Goodman, David Ciprut, Jonatha…☆70Sep 19, 2021Updated 4 years ago
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆256Jun 6, 2025Updated last year
- Recurrent Memory Transformer☆160Aug 14, 2023Updated 3 years ago
- Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena☆207Aug 26, 2023Updated 2 years ago
- ☆13Feb 7, 2023Updated 3 years ago