Keras
KeaML Deployments
Keras
| Launched | 2015-04 |
| Pricing Model | |
| Starting Price | |
| Tech used | Google Tag Manager,Amazon AWS CloudFront,Google Fonts,Bootstrap,Amazon AWS S3 |
| Tag | Software Development,Data Science,Code Generation |
KeaML Deployments
| Launched | 2022-03 |
| Pricing Model | Free Trial |
| Starting Price | $350 /month |
| Tech used | Next.js,Vercel,Gzip,Webpack,HSTS |
| Tag | Code Development |
Keras Rank/Visit
| Global Rank | 147597 |
| Country | India |
| Month Visit | 308086 |
Top 5 Countries
11.24%
7.35%
5.51%
5.37%
4.28%
India
United States
Germany
Indonesia
Brazil
Traffic Sources
2.21%
0.71%
0.1%
8%
58.5%
30.45%
social
paidReferrals
mail
referrals
search
direct
KeaML Deployments Rank/Visit
| Global Rank | 33010503 |
| Country | Poland |
| Month Visit | 102 |
Top 5 Countries
100%
Poland
Traffic Sources
45.3%
34.01%
13.44%
4.66%
0.81%
0.39%
Search
Direct
Referrals
Social
Paid Referrals
Mail
Estimated traffic data from Similarweb
What are some alternatives?
When comparing Keras and KeaML Deployments, you can also consider the following products
DeepKE - DeepKE：高精準知識擷取的整合式工具包。克服低資源、多模態與文件級資料的挑戰，建構堅實的知識圖譜。
Caffe - Caffe 是一個深度學習架構，其考量因素包括表達、速度和模組化。
DeepInfra - 透過簡易 API 即可運用頂尖 AI 模型，並採隨用隨付方式。基礎架構成本低廉、彈性擴展，且已為生產環境做好準備。
ktransformers - KTransformers 是由清華大學 KVCache.AI 團隊與 QuJing Tech 共同開發的開源專案，旨在優化大型語言模型的推論過程。它能降低硬體門檻，讓使用者僅需配備 24GB 顯示記憶體的單張 GPU，即可運行 6710 億參數的模型。此外，它還能大幅提升推論速度（預處理階段最高可達每秒 286 個 tokens，生成階段最高可達每秒 14 個 tokens），非常適合個人、企業以及學術機構使用。