9.3. 常用¶
9.3.1. 快速学习¶
阿布量化交易系统: https://github.com/bbfamily/abu
Decentralized websites using Bitcoin crypto and BitTorrent network: https://github.com/HelloZeroNet/ZeroNet
9.3.2. deep learning¶
9.3.3. AlphaGo¶
ELF开源地址: https://github.com/pytorch/ELF
Leela Zero开源地址 https://github.com/gcp/leela-zero
9.3.4. kubeflow¶
Kubeflow 是由 Google 等公司于 2017 年推出的基于 Kubernetes 的开源项目,它支持常见的机器学习框架。
Kubeflow has three core components:
1. TF Job Operator and Controller:
Extension to Kubernetes to simplify deployment of distributed TensorFlow workloads.
2. TF Hub:
Running instances of JupyterHub, enabling you to work with Jupyter Notebooks.
3. Model Server:
Deploying a trained TensorFlow models for clients to access and use for future predictions.
9.3.5. 代码生成¶
THUDM/CodeGeeX2(模型: THUDM/codegeex2-6b): https://github.com/THUDM/CodeGeeX2 https://codegeex.cn/
9.3.6. 游戏¶
超级Mario(微调的 GPT-2 模型成功生成了「超级马里奥兄弟」中的部分关卡): https://github.com/shyamsn97/mario-gpt
9.3.7. LLM Observability¶
The open-source platform for logging, monitoring, and debugging: https://www.helicone.ai/