semvec/pypi-packages huggingface dataset:
trackle-ml 0.1.2
Local-first, git-aware ML experiment tracking.
License: MIT
Requires Python: >=3.9
Keywords: experiment-tracking, mlops, ml, git, local

# Trackle

Trackle is a lightweight, local-first, git-aware ML experiment tracker.

## Goals

- Local filesystem storage only
- No servers or networking
- Simple Python API and CLI
- Git-based reproducibility

## Installation

```bash
pip install trackle-ml            # from PyPI
# or for development
pip install -e .

# optional extras
# pip install trackle-ml[viz]     # matplotlib plots
# pip install trackle-ml[rich]    # richer CLI output (if extended)
```

## Quick start

```python
import trackle_ml as trackle

trackle.init(run_name="demo")
trackle.log_params({"lr": 0.01})
trackle.log_metric("loss", 0.5, step=1)
trackle.finish()
```

## Storage layout

Runs are stored locally (default `./trackle_experiments`):

```
trackle_experiments/
  runs/
    <run_id>/
      run.json       # metadata: name, created_at, finished_at, duration_s, tags
      params.json    # merged params
      metrics.csv    # step,key,value,timestamp
      context.json   # env info (python/os/hw/torch)
      git.json       # git commit/branch/dirty/remote
      artifacts/     # copied artifacts
      notes.md       # optional note
```

## CLI

```
trackle-ml list-runs [--base DIR] [--limit N]
trackle-ml diff-runs <run_a> <run_b> [--base DIR]
trackle-ml plot-metrics <run_id> [--key metric] [--base DIR]
```
xyra-whatsapp 1.1.7
Xyra WhatsApp - WhatsApp Automation System
License: MIT
Requires Python: >=3.8
Keywords: whatsapp, automation, messaging, xyra, termux

# XYRA Auth

Termux Authentication System - Sistem Autentikasi dengan OTP Email untuk Termux

## Fitur

- Signup dengan verifikasi OTP email
- Login dengan Supabase
- Template email OTP yang keren
- Kode OTP berlaku 5 menit
- 3x percobaan input OTP
- Auto-install dependensi
- Konfigurasi terenkripsi (aman)

## Instalasi

```bash
pip install xyra-auth
```

## Penggunaan

### Sebagai Command Line

```bash
xyra-auth
```

### Sebagai Module Python

```python
from xyra_auth import main
main()
```

### Menjalankan sebagai Module

```bash
python -m xyra_auth
```

## Persyaratan

Pastikan Anda memiliki file-file berikut di direktori kerja:

- `termux_auth_lib*.so` - Binary module (minta dari developer)
- `config.enc` - File konfigurasi terenkripsi

## Instalasi di Termux

```bash
# Update Termux
pkg update && pkg upgrade

# Install Python
pkg install python

# Install xyra-auth
pip install xyra-auth

# Jalankan
xyra-auth
```

## Menu Utama

1. **Signup** - Daftar akun baru
2. **Login** - Masuk ke akun
3. **Resend** - Kirim ulang OTP
4. **Reset** - Lupa password
5. **Exit** - Keluar

## Troubleshooting

### "File .so tidak cocok dengan device"
File .so harus sesuai arsitektur (ARM untuk Termux). Minta file .so versi ARM dari developer.

### "File .so tidak ditemukan"
Pastikan file `termux_auth_lib*.so` ada di folder yang sama.

### "File config tidak ditemukan"
Pastikan `config.enc` ada di folder yang sama.

### "OTP expired"
Kode hanya berlaku 5 menit, kirim ulang OTP.

## Kontak

Email: xyraofficialsup@gmail.com

## Lisensi

MIT License
kevin-dl 0.1.1
深度学习相关工具与框架
License: MIT
Requires Python: >=3.6
Keywords: mathematics, pytorch, numpy, machine-learning, algorithm

# kevin_dl

一个面向深度学习的工具库



环境要求

```shell
numpy>=1.19
pytorch>=1.2
kevin-toolbox>=1.4.10
```

安装方法：

```shell
pip install kevin-dl  --no-dependencies
```



[项目地址 Repo](https://github.com/cantbeblank96/kevin_dl_release)

[免责声明 Disclaimer](./notes/Disclaimer.md)

[版本更新记录](./notes/Release_Record.md)：

- v 0.1.1 （2025-12-09）【bug fix】
  - fix bug in models.api.run_kevin_sdk_face_detect()，支持自动从外部文件 `~/.kv_dl_cfg/.run_kevin_sdk_face_detect.json` 读取默认配置。