KO
|
EN
gitlite — search
Search
#javascript
#python
#hacktoberfest
#react
#ai
#typescript
#llm
#go
#golang
#android
#machine-learning
#rust
#deep-learning
#linux
NeuralTSNE
★ 12
Open GitHub ↗
No description available.
Download README (.md)
Explore Similar Repositories
rule34.world-downloader
:
rule34.world downloader. I'm sick
CirebonOS
:
Lightweight Cloud OS
mt-dealershipapp
:
MT Dealerships app for lb-phone (To use with mt-dealership)
MetricEval
:
MetricEval: A framework that conceptualizes and operationalizes four main components of metric evaluation, in terms of reliability and validity
jottie
:
jottie is a juce port of rLottie
// repository documentation
Was this content helpful?
★ 0
(0 ratings)
Select Rating:
★
★
★
★
★
Submit Feedback
Recent Feedback
×
Download README
Do you want to download the
README.md
file for
NeuralTSNE
?
Download (.md)
# NeuralTSNE NeuralTSNE is a parametric t-SNE implementation that uses neural networks to learn the mapping from high-dimensional data to a low-dimensional space. It uses PyTorch for the neural network implementation and can be run on a GPU for faster computations. It also emloys Lightning library, which serves as a high-level wrapper for PyTorch, to simplify the training process. The package can be imported as Python module or used as a command-line tool. ## Features - Neural t-SNE implementation - CUDA support for faster computations - Integration with PyTorch - Comprehensive test coverage - Documentation generated with Sphinx ## Installation To install the package, run: ```sh pip install NeuralTSNE ``` ## Usage Example usage was provided in the [examples](examples/) directory. ## License This project is licensed under the MIT License - see the [LICENSE](NeuralTSNE/LICENSE.txt) file for details. ## Acknowledgements The project is supported by the National Science Center in Poland (Sonata 2021/43/D/ST4/00920, ``Statistical Learning of Slow Collective Variables from Atomistic Simulations'').
