byzh-ai
更方便的深度学习。
pip install byzh-ai → 导入名 byzh_ai
模块一览
所有子包以 B 开头，类以 B_ 开头，函数以 b_ 开头。
| 模块 | 说明 |
|---|---|
| Bdata | 主流数据集一键下载/缓存/标准化（MNIST、CIFAR、FashionMNIST、Tiny ImageNet 等），支持 TensorDataset / DataLoader 构建与分层采样 |
| Bdemo | MNIST 完整训练演示、训练器功能测试（单卡/多卡）、分类评估测试 |
| Bearly_stop | 多种早停策略（精度停滞、精度增量不足、损失停滞、过拟合检测）及模型参数自动回滚重载 |
| Blr_schedulers | 自定义学习率调度器：Warmup 线性升温、阶梯衰减、Warmup + 衰减组合 |
| Bmodel | 即用型深度学习模型：SimpleCNN、LeNet-5、ResNet-18、RNN、LSTM、Transformer、脉冲神经网络（Spike RNN/LSTM/ResNet-18）等 |
| Btrainer | 通用训练器，封装训练/验证/测试循环，集成早停/重载、学习率调度、checkpoint、多 GPU（DataParallel / DDP）、SNN 支持、日志记录、损失/精度绘图 |
| Butils | 深度学习工具：自动设备选择（NPU/GPU/CPU）、GPU 监控与空闲检测、模型参数量/FLOPs 统计、随机种子统一设置、数据集均值/标准差计算、超参数网格搜索、递增运行目录管理 |
| Bvisual | 训练损失/精度曲线绘制、混淆矩阵热力图绘制 |
依赖
byzh-core>=0.0.10.0— 进度条、日志写入器、彩色终端输出、文件/目录操作等基础工具torch、torchvision— 深度学习框架numpy、pandas、matplotlib、seaborn— 数据处理与可视化scikit-learn— 数据划分、指标计算thop— FLOPs 计算（需自行安装）spikingjelly— 脉冲神经网络（可选）PyYAML— YAML 配置解析Pillow— 图像处理
License
1 maintainer
Metadata
1 maintainer
Release files for byzh-ai 0.0.10.22
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| byzh_ai-0.0.10.22.tar.gz | 149.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| byzh_ai-0.0.10.22-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 417.4 kB
Release files / byzh_ai-0.0.10.22.tar.gz
| Download URL | byzh_ai-0.0.10.22.tar.gz |
|---|---|
| Size | 149.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c425534eb4ccc06b8177fc98c8e10ea15f0eca7255f5a28497ac016613be7eea
|
|
BLAKE2b-256 checksum How to use checksums |
101aef63c11be5d540ba7a7321a3ac499ec994953402abc22f2e5d8fe737eeba
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.5
|
Release files / byzh_ai-0.0.10.22-py3-none-any.whl
| Download URL | byzh_ai-0.0.10.22-py3-none-any.whl |
|---|---|
| Size | 267.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ccb512decc47c3631bb4572126137284e5fb11da8488d75fca509d050dfc06a9
|
|
BLAKE2b-256 checksum How to use checksums |
7eedde49a347049ce2c5df6432df24df0dcae1c1fb50ccc858ea92e5fb255863
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.5
|
Security for byzh-ai 0.0.10.22
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
