semvec/pypi-packages huggingface dataset:
continual-learning 0.1.6.6
A base CL framework to speed-up prototyping and testing
Requires Python: >=3.7
Keywords: continual learning

# Continual learning framework

This is a Continual Learning library based on **Pytorch**, mainly born for personal use, which can be used for fast 
prototyping, training and to compare different build-in methods over a various numbers of scenarios and benchmarks.  

# Installation

Type
    
    pip install continual-learning

# Continual learning framework

The library is organized in four main modules:

- [Benchmarks](continual_learning/datasets): This module contains the most used dataset in CL, reimplemented to give more flexibility.
- [Logging](continual_learning/scenarios): This module provides different supervised scenarios which you can use in combination with a dataset to create your own Cl scenario.
- [Extras](continual_learning/methods): It contains many Cl methods, that can be easily used and evalauted.
- [Training](continual_learning/backbone_networks): This module contains many popular networks used to extract the features from the input samples.
- [Evaluation](continual_learning/eval): This modules provides a unified way to evaluate a method over a flexible numbers of metrics/  
- [Models](continual_learning/solvers): In this module you will find different solvers, used to classify the features extracted by a backbone network.

Disclaimer
----------------
This is a framework which is born to improve coding, and the reproducibility of the papers in which I have worked during the years. 
Being constantly under development, it may be unstable.
staticsite 0.1.6
Super simple Jinja2 based staticsite generator.
Requires Python: >=3.6,<4.0

# StaticSite

- [Documentation](https://thesage21.github.io/staticsite/)
- See examples folder for ways to do common things.
- Usage
  1. Create a folder called `src`.
  2. Put your Jinja templates there.
  3. Run `python -m staticsite build --src src --target www`
  4. Static site has been built and provided in `www` folder.
  5. Create a `staticsite.yaml` file to specify variables and plugins.
trddatetime 0.0.0
TradeDatetime
Requires Python: >=3.8


# trddatetime (Trade Datetime)

### ============================================================
### Overview.
### ============================================================

TimeZone 설정값에 따라 그 나라의 거래소 거래일시를 사용할 수 있다.

한국거래소: STOCK_TZ={+9, UTC+9}
미국거래소: STOCK_TZ={-4, ET}
영국거래소: STOCK_TZ={0, CET}

### ============================================================
### 사용법.
### ============================================================


##### ============================================================
### 주의사항 !!
##### ============================================================


### ============================================================
### Configuration
### ============================================================