mirror of https://github.com/hpcaitech/ColossalAI
[doc] add FastFold (#1766)
binmakeswell
GitHub
parent
b4cc59b61e
commit
16b0abf94f
|
|
@ -56,7 +56,7 @@
|
|||
<li>
|
||||
<a href="#Colossal-AI-in-the-Real-World">Colossal-AI 成功案例</a>
|
||||
<ul>
|
||||
<li><a href="#xTrimoMultimer">xTrimoMultimer: 蛋白质单体与复合物结构预测</a></li>
|
||||
<li><a href="#生物医药">生物医药: 加速AlphaFold蛋白质结构预测</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li>
|
||||
|
|
@ -105,7 +105,7 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
|
|||
- 推理
|
||||
- [Energon-AI](https://github.com/hpcaitech/EnergonAI)
|
||||
- Colossal-AI 成功案例
|
||||
- [xTrimoMultimer: 蛋白质单体与复合物结构预测](https://github.com/biomap-research/xTrimoMultimer)
|
||||
- 生物医药: [FastFold](https://github.com/hpcaitech/FastFold) 加速蛋白质结构预测 AlphaFold 训练与推理
|
||||
<p align="right">(<a href="#top">返回顶端</a>)</p>
|
||||
|
||||
## 并行训练样例展示
|
||||
|
|
@ -178,7 +178,7 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
|
|||
|
||||
- 用相同的硬件训练34倍大的模型
|
||||
|
||||
<p align="right">(<a href="#top">back to top</a>)</p>
|
||||
<p align="right">(<a href="#top">返回顶端</a>)</p>
|
||||
|
||||
|
||||
## 推理 (Energon-AI) 样例展示
|
||||
|
|
@ -196,19 +196,26 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
|
|||
- [OPT推理服务](https://service.colossalai.org/opt): 无需注册，免费体验1750亿参数OPT在线推理服务
|
||||
|
||||
|
||||
<p align="right">(<a href="#top">back to top</a>)</p>
|
||||
<p align="right">(<a href="#top">返回顶端</a>)</p>
|
||||
|
||||
## Colossal-AI 成功案例
|
||||
### 生物医药
|
||||
|
||||
加速 [AlphaFold](https://alphafold.ebi.ac.uk/) 蛋白质结构预测
|
||||
|
||||
<p id="FastFold" align="center">
|
||||
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/FastFold.jpg" width=800/>
|
||||
</p>
|
||||
|
||||
- [FastFold](https://github.com/hpcaitech/FastFold): 加速AlphaFold训练与推理、数据前处理、推理序列长度超过10000残基
|
||||
|
||||
### xTrimoMultimer: 蛋白质单体与复合物结构预测
|
||||
<p id="xTrimoMultimer" align="center">
|
||||
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/xTM_Prediction.jpg" width=380/>
|
||||
<p></p>
|
||||
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/xTrimoMultimer_Table.jpg" width=800/>
|
||||
</p>
|
||||
|
||||
- [xTrimoMultimer](https://github.com/biomap-research/xTrimoMultimer): 11倍加速蛋白质单体与复合物结构预测
|
||||
|
||||
<p align="right">(<a href="#top">返回顶端</a>)</p>
|
||||
|
||||
## 安装
|
||||
|
||||
|
|
|
|||
19
README.md
19
README.md
|
|
@ -56,7 +56,7 @@
|
|||
<li>
|
||||
<a href="#Colossal-AI-in-the-Real-World">Colossal-AI for Real World Applications</a>
|
||||
<ul>
|
||||
<li><a href="#xTrimoMultimer">xTrimoMultimer: Accelerating Protein Monomer and Multimer Structure Prediction</a></li>
|
||||
<li><a href="#Biomedicine">Biomedicine: Acceleration of AlphaFold Protein Structure</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li>
|
||||
|
|
@ -111,7 +111,7 @@ distributed training and inference in a few lines.
|
|||
- [Energon-AI](https://github.com/hpcaitech/EnergonAI)
|
||||
|
||||
- Colossal-AI in the Real World
|
||||
- [xTrimoMultimer](https://github.com/biomap-research/xTrimoMultimer): Accelerating Protein Monomer and Multimer Structure Prediction
|
||||
- Biomedicine: [FastFold](https://github.com/hpcaitech/FastFold) accelerates training and inference of AlphaFold protein structure
|
||||
<p align="right">(<a href="#top">back to top</a>)</p>
|
||||
|
||||
## Parallel Training Demo
|
||||
|
|
@ -202,14 +202,21 @@ Please visit our [documentation](https://www.colossalai.org/) and [examples](htt
|
|||
|
||||
## Colossal-AI in the Real World
|
||||
|
||||
### xTrimoMultimer: Accelerating Protein Monomer and Multimer Structure Prediction
|
||||
### Biomedicine
|
||||
Acceleration of [AlphaFold Protein Structure](https://alphafold.ebi.ac.uk/)
|
||||
|
||||
<p id="FastFold" align="center">
|
||||
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/FastFold.jpg" width=800/>
|
||||
</p>
|
||||
|
||||
- [FastFold](https://github.com/hpcaitech/FastFold): accelerating training and inference on GPU Clusters, faster data processing, inference sequence containing more than 10000 residues.
|
||||
|
||||
<p id="xTrimoMultimer" align="center">
|
||||
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/xTM_Prediction.jpg" width=380/>
|
||||
<p></p>
|
||||
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/xTrimoMultimer_Table.jpg" width=800/>
|
||||
</p>
|
||||
|
||||
- [xTrimoMultimer](https://github.com/biomap-research/xTrimoMultimer): accelerating structure prediction of protein monomers and multimer by 11x
|
||||
- [xTrimoMultimer](https://github.com/biomap-research/xTrimoMultimer): accelerating structure prediction of protein monomers and multimer by 11x.
|
||||
|
||||
|
||||
<p align="right">(<a href="#top">back to top</a>)</p>
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue