davidmrau / mixture-of-expertsLinks
PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538
☆1,222Updated last year
Alternatives and similar repositories for mixture-of-experts
Users that are interested in mixture-of-experts are comparing it to the libraries listed below
Sorting:
- A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models☆844Updated 2 years ago
- A fast MoE impl for PyTorch☆1,829Updated 11 months ago
- A collection of AWESOME things about mixture-of-experts☆1,255Updated last year
- A curated reading list of research in Mixture-of-Experts(MoE).☆658Updated last year
- Transformer based on a variant of attention that is linear complexity in respect to sequence length☆825Updated last year
- Rotary Transformer☆1,075Updated 3 years ago
- ☆699Updated last month
- Pytorch library for fast transformer implementations☆1,759Updated 2 years ago
- Tutel MoE: Optimized Mixture-of-Experts Library, Support GptOss/DeepSeek/Kimi-K2/Qwen3 using FP8/NVFP4/MXFP4☆960Updated last month
- Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch☆377Updated last year
- Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States☆1,311Updated last year
- PyTorch implementation of the InfoNCE loss for self-supervised learning.☆607Updated 2 years ago
- 2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆819Updated 3 months ago
- Collection of papers on state-space models☆615Updated 2 months ago
- Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"☆372Updated 2 years ago
- An All-MLP solution for Vision, from Google AI☆1,055Updated 6 months ago
- Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch☆794Updated 6 months ago
- Vector (and Scalar) Quantization, in Pytorch☆3,835Updated 2 weeks ago
- TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.☆1,691Updated this week
- An implementation of Performer, a linear attention-based transformer, in Pytorch☆1,172Updated 3 years ago
- Long Range Arena for Benchmarking Efficient Transformers☆775Updated 2 years ago
- Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models☆806Updated 7 months ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆392Updated 4 years ago
- Reformer, the efficient Transformer, in Pytorch☆2,192Updated 2 years ago
- Code for ALBEF: a new vision-language pre-training method☆1,749Updated 3 years ago
- PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566☆1,225Updated 3 years ago
- The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer…☆918Updated last year
- Structured state space sequence models☆2,827Updated last year
- A PyTorch Library for Multi-Task Learning☆2,511Updated 8 months ago
- A Unified Library for Parameter-Efficient and Modular Transfer Learning☆2,801Updated 3 months ago