From 99bd9dcc2dd8000b2f85a2788d1cb6d977e7b57e Mon Sep 17 00:00:00 2001 From: Jim McKeeth Date: Wed, 8 Jun 2022 15:24:23 -0600 Subject: [PATCH] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index d2fd5bd..2cbef12 100644 --- a/README.md +++ b/README.md @@ -4,13 +4,13 @@ A collection of lightweight Python wrappers based on Python4Delphi simplifying D This is an _early access preview_, but you are encouraged to try it out, file bug reports, and add features. [Read more](https://blogs.embarcadero.com/?p=145025) and catch the live stream. Currently includes: -* Tensorflow +* **Tensorflow** - Library for machine learning and artificial intelligence. * **NumPy** - [[Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/NumPy)] Numerical library for working with large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these them. * **PyTorch & PyTorch Vision** - [[Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/PyTorch)] For computer vision and natural language processing applications. * **MatPlotLib** - [[Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/MatplotLib)] Library for creating static, animated, and interactive visualizations. * **Natural Language Toolkit (NLTK)** - [Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/NLTK) Suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English. * **OpenCV** - Library of programming functions mainly aimed at real-time computer vision -* **Scikit-learn** - [Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/ScikitLearn) Machine learning library that features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN. +* **Scikit-learn** - [[Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/ScikitLearn)] Machine learning library that features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN. Most packages have basic samples, but PyTorch has a very involed [Transfer Learning demonstration](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/PyTorch/PyTorchTransferLearning).