Implementation Libraries

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Implementation Libraries

Plain python implementations of basic machine learning algorithms

If you have a favorite algorithm that should be included or spot a mistake in one of the notebooks, please let me know by creating a new issue. See the LICENSE file for license rights and limitations…

👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, NIMA, DBCNN, WaDIQaM, BRISQUE, PI and more...

Example test script with input directory/images and reference directory/images. Results are calculated with: Basically, we use the largest existing datasets for training, and cross dataset evaluation…

Implementation of Machine Learning Algorithms

The Minimal LZMA (minlzma) project aims to provide a minimalistic, cross-platform, highly commented, standards-compliant C library (minlzlib) for decompressing LZMA2-encapsulated compressed data in LZMA format within an XZ container, as can be generated with Python 3.6, 7-zip, and xzutils

Generate 4MB of noise : Generate 4MB of whitespace: Generate 4MB of noise: Generate 4MB of whitespace: If you use WSL, ... For Linux native builds, ... The author would like to thank the shoulders of…

MachineLearning-DeepLearning-Code-for-my-YouTube-Channel

The full collection of all codes for my Youtube Channel segregated as per topic.

The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"

The expected output on google Colab is, We trained the network for 1 Million iterations on RAW images. As RAW images are bulky, reading them from storage is an expensive step. We therefore recommend …

Basic Machine Learning implementation with python

:umbrella: Implementations of mathematical functions, formulas and concepts

It provides the mathematical implementations for various topics which are related to mathematical things such as fibonacci, euclidean, prime numbers and so on. Any mathematical topics or concepts are…

Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.

This project will no longer be maintained by Intel. This project has been identified as having known security escapes. Intel has ceased development and contributions including, but not limited to, ma…

Implementations of the machine learning algorithm with Python and numpy

该项目旨在使用numpy实现一个类scikit-learn的mini机器学习库，对于相关的知识，均配有blog文章对其理论进行讲解，对于部分功能，还配有notebook分析代码实现上的细节。该项目的初衷是为那些算法学习者提供从理论到实现的一站式服务。由于本人学识有限，并且没有Python开发经验，该库目前还是一个非常松散的代码集合体。如果你在blog、notebook或者code中发现任何纰漏…