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https://github.com/realshinehuang/awesome-deepseek

List: awesome-deepseek
ai awesom awesome-list deepseek llm multimodal
Last synced: 9 days ago
JSON representation
Host: GitHub
URL: https://github.com/realshinehuang/awesome-deepseek
Owner: realShineHuang
Created: 2025-01-30T04:01:11.000Z (13 days ago)
Default Branch: main
Last Pushed: 2025-02-01T05:49:25.000Z (11 days ago)
Last Synced: 2025-02-01T06:25:51.445Z (11 days ago)
Topics: ai, awesom, awesome-list, deepseek, llm, multimodal
Homepage: https://awesome-deepseek.com
Size: 9.77 KB
Stars: 1
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
Awesome Lists containing this project

README

        # Awesome DeepSeek [![Awesome](https://awesome.re/badge.svg)](https://awesome.re) [![Check Markdown Links](https://github.com/realShineHuang/awesome-deepseek/actions/workflows/check-links.yml/badge.svg?branch=main)](https://github.com/realShineHuang/awesome-deepseek/actions/workflows/check-links.yml)

English | [简体中文](README_zh-CN.md)

> A curated list of DeepSeek resources, including cutting-edge AI models, developer tools, research papers, and community projects. Maintained by the community, for the community.

## Contents

- [Official Resources](#official-resources)

- [Models](#models)

- [Technical Reports](#technical-reports)

- [Tools and Applications](#tools-and-applications)

- [Prompts](#prompts)

- [Tutorials and Documentation](#tutorials-and-documentation)

- [Community Projects](#community-projects)

- [Other Awesome Lists](#other-awesome-lists)

- [How to Contribute](#how-to-contribute)

- [License](#license)

- [Acknowledgments](#acknowledgments)

---

## Official Resources

- [🌐 DeepSeek Website](https://deepseek.com/) - Official portal for product updates and research

- [💻 DeepSeek GitHub](https://github.com/deepseek-ai) - Official code repositories

- [🤖 DeepSeek Chat](https://chat.deepseek.com/) - Live demo of conversational AI

- [📱 DeepSeek App](https://download.deepseek.com/app/) - Mobile application for iOS and Android

- [📄 API Documentation](https://api-docs.deepseek.com/) - Official API reference

- [💰 API Pricing](https://api-docs.deepseek.com/quick_start/pricing) - Detailed pricing information for API usage

- [📊 Service Status](https://status.deepseek.com/) - Real-time service status monitoring

---

## Models

### Foundation Models

- [🧠 DeepSeek-LLM](https://github.com/deepseek-ai/DeepSeek-LLM) - 7B/67B parameter general-purpose LLM

- [🚀 DeepSeek-V2](https://github.com/deepseek-ai/DeepSeek-V2) - MoE model with 236B total params (21B activated), 128k context

- [⚡ DeepSeek-V3](https://github.com/deepseek-ai/DeepSeek-V3) - MoE model with 671B total params (37B activated), 128k context

- [🔬 DeepSeek-R1](https://github.com/deepseek-ai/DeepSeek-R1) - RL-enhanced model with 60.9% on MATH, 128k context

### Code Models

- [💻 DeepSeek-Coder: Let the Code Write Itself](https://arxiv.org/abs/2401.14196) - Introduces the first version of DeepSeek Coder model

- [🔧 DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence](https://arxiv.org/abs/2406.11931) - Presents an open-source MoE code language model

- [🛠️ DeepSeek-MoE](https://github.com/deepseek-ai/DeepSeek-MoE) - Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

### Multimodal Models

- [🖼️ DeepSeek-VL](https://github.com/deepseek-ai/DeepSeek-VL) - Vision-language model for real-world understanding (1.3B/7B), 4096 context length

- [🎨 Janus](https://github.com/deepseek-ai/Janus) - Unified Multimodal Understanding and Generation Models

- [🌌 DreamCraft3D](https://github.com/deepseek-ai/DreamCraft3D) - Official Implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

### Math Models

- [🧮 DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://arxiv.org/abs/2402.03300) - Introduces a 7B math specialist model achieving 51.7% on MATH benchmark

### Fine-tuning & Optimization

- [⚙️ ESFT](https://github.com/deepseek-ai/ESFT) - Expert Specialized Fine-Tuning

### Integration & Tools

- [🔗 awesome-deepseek-integration](https://github.com/deepseek-ai/awesome-deepseek-integration) - A curated list of DeepSeek integration resources

- [🛠️ awesome-deepseek-coder](https://github.com/deepseek-ai/awesome-deepseek-coder) - A curated list of open-source projects related to DeepSeek Coder

---

## Technical Reports

### Foundation Models

- [📜 DeepSeek LLM: Scaling Open-Source Language Models with Longtermism](https://arxiv.org/abs/2401.02954) - Introduces the training methodology and innovations of DeepSeek base models

- [🚀 DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model](https://arxiv.org/abs/2405.04434) - Presents the architecture and training strategies of DeepSeek-V2

- [⚡ DeepSeek-V3 Technical Report](https://arxiv.org/abs/2412.19437) - Details the MoE architecture with 671B total parameters

- [🔬 DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning](https://arxiv.org/abs/2501.12948) - Introduces reinforcement learning approach for reasoning capabilities

### Code Models

- [💻 DeepSeek-Coder: When the Large Language Model Meets Programming](https://arxiv.org/abs/2401.14196) - In-depth exploration of DeepSeek Coder's technical details and performance

- [🔧 DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence](https://arxiv.org/abs/2406.11931) - Presents an open-source MoE code language model

### Math Models

- [🧮 DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://arxiv.org/abs/2402.03300) - Introduces a 7B math specialist model achieving 51.7% on MATH benchmark

### Usage Guides

- [📚 DeepSeek Prompt Library](https://api-docs.deepseek.com/prompt-library) - Collection of curated prompts and examples

---

## Tools and Applications

### Development Tools

- [⚡ API Quickstart](https://api-docs.deepseek.com/) - Get started in 5 minutes

### Integrations

- [🤗 Hugging Face Models](https://huggingface.co/deepseek-ai) - Model hub integration

### Playgrounds

- [🧪 Colab Notebooks](https://colab.research.google.com/github/deepseek-ai) - Free experimentation

---

## Prompts

- [📚 Official Prompt Library](https://api-docs.deepseek.com/prompt-library) - Curated collection of prompts and examples

---

## Tutorials and Documentation

- [🚀 Quickstart Guide](https://api-docs.deepseek.com/) - First steps with DeepSeek

- [📚 Full Documentation](https://api-docs.deepseek.com/) - Comprehensive technical reference

---

## Community Projects

### Open Source

- [🤗 Hugging Face Models](https://huggingface.co/deepseek-ai) - Model documentation and demos

---

## Other Awesome Lists

- [🌟 Awesome LLM](https://github.com/Hannibal046/Awesome-LLM) - Large Language Models resources

- [🔓 Awesome Open LLM](https://github.com/eugeneyan/open-llms) - Open-source LLMs

- [🌟 Awesome-Chinese-LLM](https://github.com/HqWu-HITCS/Awesome-Chinese-LLM) - A curated list of Chinese LLMs, focusing on small-scale, privately deployable models with low training costs

- [🛡️ Awesome LLM Security](https://github.com/corca-ai/awesome-llm-security) - Security best practices

---

## How to Contribute

Your contributions are welcome! Please:

1. Read our [Contribution Guidelines](CONTRIBUTING.md)

2. Ensure links are relevant and functional

3. Add concise descriptions (50-150 characters)

4. Follow the [Code of Conduct](CODE_OF_CONDUCT.md)

---

## License

[![CC BY 4.0](https://licensebuttons.net/l/by/4.0/88x31.png)](https://creativecommons.org/licenses/by/4.0/)

---

## Acknowledgments

Special thanks to:

- DeepSeek engineering team for open-source contributions

- [@realShineHuang](https://github.com/realShineHuang) for maintaining this list

- All [contributors](CONTRIBUTORS.md) (view full list)