A curated reading list of research in Mixture-of-Experts(MoE).
☆663Oct 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☆1,274Dec 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☆1,243Apr 19, 2024Updated 2 years ago
- A fast MoE impl for PyTorch☆1,849Feb 10, 2025Updated last year
- Tutel MoE: Optimized Mixture-of-Experts Library, Support GptOss/DeepSeek/Kimi-K2/Qwen3 using FP8/NVFP4/MXFP4☆984Apr 11, 2026Updated last week
- ☆715Dec 6, 2025Updated 4 months 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.
- A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models☆854Sep 13, 2023Updated 2 years ago
- ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)☆1,000Dec 6, 2024Updated last year
- Survey: A collection of AWESOME papers and resources on the latest research in Mixture of Experts.☆143Aug 21, 2024Updated last year
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,675Mar 8, 2024Updated 2 years ago
- Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch☆345Apr 2, 2025Updated last year
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆124Dec 18, 2023Updated 2 years ago
- Ongoing research training transformer models at scale☆16,073Updated this week
- Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch☆381Jun 17, 2024Updated last year
- ☆89Apr 2, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Distributional Generalization in NLP. A roadmap.☆87Dec 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)☆545May 14, 2024Updated last year
- Paper List for In-context Learning 🌷☆873Oct 8, 2024Updated last year
- ☆98Jun 6, 2022Updated 3 years ago
- This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).☆114May 2, 2022Updated 3 years ago
- Latest Advances on Multimodal Large Language Models☆17,624Apr 9, 2026Updated last week
- A baseline repository of Auto-Parallelism in Training Neural Networks☆147Jun 25, 2022Updated 3 years ago
- ☆20Oct 31, 2022Updated 3 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.
- [TKDE'25] The official GitHub page for the survey paper "A Survey on Mixture of Experts in Large Language Models".☆489Jul 23, 2025Updated 8 months ago
- Fast and memory-efficient exact attention☆23,344Updated this week
- A curated reading list of research in Adaptive Computation, Inference-Time Computation & Mixture of Experts (MoE).☆161Jan 1, 2025Updated last year
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,280Updated this week
- Codebase for Merging Language Models (ICML 2024)☆863May 5, 2024Updated last year
- 📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉☆5,144Apr 9, 2026Updated last week
- AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers☆48Oct 21, 2022Updated 3 years ago
- DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.☆42,141Updated this week
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆2,244Aug 14, 2025Updated 8 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting☆2,770Aug 4, 2024Updated last year
- A high-performance distributed deep learning system targeting large-scale and automated distributed training.☆335Dec 13, 2025Updated 4 months ago
- Must-read papers on prompt-based tuning for pre-trained language models.☆4,298Jul 17, 2023Updated 2 years ago
- Train transformer language models with reinforcement learning.☆18,054Updated this week
- 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.☆20,929Apr 10, 2026Updated last week
- An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Asy…☆9,340Updated this week
- ☆145Jul 21, 2024Updated last year