semvec/pypi-packages huggingface dataset:
comfi-fast-grnn-tensorflow 0.0.3
A Tensorflow implementation of Comfi-FastGRNN
License: MIT
Requires Python: >=3.10

# comfi-fast-grnn-tensorflow
Implements Comfi-FastGRNN in tensorflow.

## Usage

You can use the `ComfiFastGRNN` layer just like any standard Keras RNN layer (e.g., `LSTM`, `GRU`). It supports the Sequential and Functional APIs.

### Basic Implementation
The simplest way to use the layer with default settings:

```python
import tensorflow as tf
from comfi_fast_grnn_tensorflow import ComfiFastGRNN  
    
# Comfi-FastGRNN layer
comfi_fgrnn = ComfiFastGRNN(
    units=64, 
    return_sequences=False
)
```
comfi-fast-grnn-torch 0.0.3
A PyTorch implementation of Comfi-FastGRNN
License: MIT
Requires Python: >=3.10

# comfi-fast-grnn-torch
Implements Comfi-FastGRNN in torch.

## Usage

The `ComfiFastGRNN` module is designed to be a drop-in replacement for standard PyTorch RNN layers (like `nn.LSTM` or `nn.GRU`), but with added support for low-rank factorization and complementary filtering.

### Basic Implementation
Here is how to use the layer with default settings in a standard training loop:

```python
import torch
from comfi_fast_grnn_torch import ComfiFastGRNN 

comfi_fgrnn = ComfiFastGRNN(
    input_size=32, 
    hidden_size=64, 
    num_layers=1
)
```
csrlite 0.3.2
A hierarchical YAML-based framework for generating Tables, Listings, and Figures in clinical trials
License: MIT
Requires Python: >=3.10
Keywords: clinical-trials, biostatistics, yaml, tlf, tables, listings, figures

# csrlite

[![CI](https://github.com/elong0527/csrlite/actions/workflows/ci.yml/badge.svg)](https://github.com/elong0527/csrlite/actions/workflows/ci.yml)
[![codecov](https://codecov.io/gh/elong0527/csrlite/branch/main/graph/badge.svg)](https://codecov.io/gh/elong0527/csrlite)
[![PyPI version](https://badge.fury.io/py/csrlite.svg)](https://badge.fury.io/py/csrlite)
[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)

A hierarchical YAML-based framework for generating Tables, Listings, and Figures in clinical trials.

## Installation

```bash
pip install csrlite
```

## Documentation

Visit [https://elong0527.github.io/csrlite](https://elong0527.github.io/csrlite) for full documentation.

## License

MIT License - see [LICENSE](LICENSE) file for details.