semvec/pypi-packages huggingface dataset:
dnikit_torch 2.0.0
DNIKit PyTorch integration and support.
License: Apache-2.0
Requires Python: >=3.7

# Data and Network Introspection Kit (DNIKit) - PyTorch

This package contains the PyTorch extensions of [DNIKit](https://github.com/apple/dnikit).

To learn more about DNIKit, please see the [docs](https://apple.github.io/dnikit).

## Installation

To install DNIKit PyTorch, use:
```
pip install "dnikit[torch]"
```
dnikit_tensorflow 2.0.0
TensorFlow extensions of DNIKit.
License: Apache-2.0
Requires Python: >=3.7

# Data and Network Introspection Kit (DNIKit) - TensorFlow

This package contains the TensorFlow extensions of [DNIKit](https://github.com/apple/dnikit).

To learn more about DNIKit, please see the [docs](https://apple.github.io/dnikit).

## Installation

To install TensorFlow 2 (CPU or GPU), use:
```
pip install "dnikit[tensorflow]"
```

To install TensorFlow 1 CPU, use:
```
pip install "dnikit[tensorflow1]"
```

For TensorFlow 1 GPU:
```
pip install  "dnikit[tensorflow1-gpu]"
```
dnikit 2.0.0
Base Data and Network Introspection Kit (DNIKit) Library.
License: Apache-2.0
Requires Python: >=3.7

# Data and Network Introspection Kit (DNIKit)

Data and Network Introspection Kit (DNIKit) uses the activations at hidden layers
of a neural network to understand the network’s behavior and how it is learning,
with respect to a given dataset. DNIKit algorithms can be applied to many problems,
including network compression, failure and bias analysis, dataset QA, and more.

To learn more, please see the [docs](https://apple.github.io/dnikit).

## Installation

```
pip install dnikit
```

See available installation extensions also in the [docs](https://apple.github.io/dnikit).