A curated reading list of research in Mixture-of-Experts(MoE).
☆672Oct 30, 2024Updated last year
Alternatives and similar repositories for Awesome-Mixture-of-Experts-Papers
Users that are interested in Awesome-Mixture-of-Experts-Papers are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A collection of AWESOME things about mixture-of-experts☆1,288Dec 8, 2024Updated last year
- PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538☆1,253Apr 19, 2024Updated 2 years ago
- A fast MoE impl for PyTorch☆1,861Feb 10, 2025Updated last year
- Tutel MoE: Optimized Mixture-of-Experts Library, Support GptOss/DeepSeek/Kimi-K2/Qwen3 using FP8/NVFP4/MXFP4☆1,021Sep 15, 2026Updated last week
- ☆728Sep 11, 2026Updated 2 weeks ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models☆873Sep 13, 2023Updated 3 years ago
- ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)☆1,003Dec 6, 2024Updated last year
- Survey: A collection of AWESOME papers and resources on the latest research in Mixture of Experts.☆146Aug 21, 2024Updated 2 years ago
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,699Mar 8, 2024Updated 2 years ago
- Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch☆348Apr 2, 2025Updated last year
- ☆1,595Mar 25, 2026Updated 6 months ago
- Awesome Mixture of Experts (MoE): A Curated List of Mixture of Experts (MoE) and Mixture of Multimodal Experts (MoME)☆75Jul 13, 2026Updated 2 months ago
- Ongoing research training transformer models at scale☆18,018Updated this week
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆129Dec 18, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆92Apr 2, 2022Updated 4 years ago
- Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch☆388Jun 17, 2024Updated 2 years ago
- Distributional Generalization in NLP. A roadmap.☆86Dec 12, 2022Updated 3 years ago
- PyTorch implementation of Soft MoE by Google Brain in "From Sparse to Soft Mixtures of Experts" (https://arxiv.org/pdf/2308.00951.pdf)☆83Oct 5, 2023Updated 2 years ago
- Awesome papers on Language-Model-as-a-Service (LMaaS)☆544May 14, 2024Updated 2 years ago
- Paper List for In-context Learning 🌷☆874Oct 8, 2024Updated last year
- 🚀 Efficient implementations for emerging model architectures☆5,795Updated this week
- ☆98Jun 6, 2022Updated 4 years ago
- This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).☆114May 2, 2022Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆21Oct 31, 2022Updated 3 years ago
- A baseline repository of Auto-Parallelism in Training Neural Networks☆145Jun 25, 2022Updated 4 years ago
- Fast and memory-efficient exact attention☆25,022Updated this week
- [TKDE'25] The official GitHub page for the survey paper "A Survey on Mixture of Experts in Large Language Models".☆510Aug 18, 2026Updated last month
- Codebase for Merging Language Models (ICML 2024)☆875May 5, 2024Updated 2 years ago
- A curated reading list of research in Adaptive Computation, Inference-Time Computation & Mixture of Experts (MoE).☆165Jan 1, 2025Updated last year
- DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.☆43,160Updated this week
- AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers☆48Oct 21, 2022Updated 3 years ago
- 📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉☆5,515Aug 14, 2026Updated last month
- 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.
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆2,264Aug 14, 2025Updated last year
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting☆2,775Aug 4, 2024Updated 2 years ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training.☆342Dec 13, 2025Updated 9 months ago
- Must-read papers on prompt-based tuning for pre-trained language models.☆4,326Jul 17, 2023Updated 3 years ago
- Train transformer language models with reinforcement learning.☆19,399Updated this week
- A curated list of prompt-based paper in computer vision and vision-language learning.☆930Dec 18, 2023Updated 2 years ago
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,555Updated this week