Deep-learning Libraries

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Deep-learning Libraries

Medical imaging toolkit for deep learning

If you like this repository, please click on Star! If you use this package for your research, please cite our paper: BibTeX entry: This project is supported by the following institutions:

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

For example to trigger installation of GPU version of tensorflow and opencv, use the following pip command: Petastorm supports extensible data codecs. These enable a user to use one of the standard d…

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Install PyGAD with the following command: The source code of the PyGAD' modules is found in the following GitHub projects: The next code implements all the callback functions to trace the execution o…

Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.

Simple installation from PyPI Install using conda Pip from source Pip from archive Extra dependencies for specialized metrics: Install latest developer version TorchMetrics is a collection of 100+ Py…

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

[UNMAINTAINED] Automated machine learning for analytics & production

Automated machine learning for production and analytics auto_ml is designed for production. Here's an example that includes serializing and loading the trained model, then getting predictions on sing…

Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more

DeepCamera empowers your traditional surveillance cameras and CCTV/NVR with machine learning technologies. It provides open source facial recognition based intrusion detection, fall detection and pa…

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

We believe mastery of a certain machine learning concept/topic is achieved only when the answer to each of the following three questions is affirmative. Example ”roadmaps” shown below provide suggest…

Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. It alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance.

Because NannyML can estimate performance, it is possible to weed out data drift alerts that do not impact expected performance, combatting alert fatigue. Besides linking data drift issues to drops in…

Modern columnar data format for ML implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

Lance is a modern columnar data format that is optimized for ML workflows and datasets. Lance is perfect for: The key features of Lance include: Download the sift1m subset Convert it to Lance Build …

MLBox is a powerful Automated Machine Learning python library.

MLBox has been developed and used by many active community members. Your help is very valuable to make it better for everyone.

Machine Learning Platform and Recommendation Engine built on Kubernetes

Seldon Server is a machine learning platform that helps your data science team deploy models into production. Seldon supports models built with TensorFlow, Keras, Vowpal Wabbit, XGBoost, Gensim and a…

an implementation of 3D Ken Burns Effect from a Single Image using PyTorch

This is a reference implementation of 3D Ken Burns Effect from a Single Image [1] using PyTorch. Given a single input image, it animates this still image with a virtual camera scan and zoom subject t…

Google, Naver multiprocess image web crawler (Selenium)

Google, Naver multiprocess image crawler (High Quality & Speed & Customizable) Install Chrome pip install -r requirements.txt Write search keywords in keywords.txt Files will be downloaded to…

Tutorials and training material for the H2O Machine Learning Platform

This document contains tutorials and training materials for H2O-3. If you find any problems with the tutorial code, please open an issue in this repository. There are a number of tutorials on all so…

fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.

🚀 Introducing VL Profiler! 🚀 We're excited to announce our new cloud product, VL Profiler. It's designed to help you gain deeper insights and enhance your productivity while using fastdup. With VL P…

Neural machine translation and sequence learning using TensorFlow

OpenNMT-tf is a general purpose sequence learning toolkit using TensorFlow 2. While neural machine translation is the main target task, it has been designed to more generally support: Models are desc…

Multi-class confusion matrix library in Python

Fig1. ConfusionMatrix Block Diagram After that, two scores are calculated for each confusion matrices, overall and class-based. The overall score is the average of the score of seven overall benchmar…

Deep Learning Toolkit for Medical Image Analysis

If you use DLTK in your work please refer to this citation for the current version: Setup a virtual environment and activate it. Although DLTK<=0.2.1 supports and python 2.7, we will not support i…

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Machine learning metrics for distributed, scalable PyTorch applications.

Open source person re-identification library in python

Open-ReID is a lightweight library of person re-identification for research purpose. It aims to provide a uniform interface for different datasets, a full set of models and evaluation metrics, as wel…

General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.

Below you can find a GPU multiplication example using the C++ and Python Kompute interfaces. You are able to try out the interactive Colab Notebooks which allow you to use a free GPU. The available e…

a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image

An open source project that uses a machine learning based image inpainting methodology to remove watermark from images which is totally indistinguishable from the ground truth version of the image. F…

A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

A comprehensive list of +180 YouTube Channels (in no particular order) for Data Science, Data Engineering, Machine Learning, Deep Learning, Artificial Intelligence, Computer Science, programming, sof…

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

Does one of these scenarios sounds familiar to you? If so, you are one of the people we've built refinery for. refinery helps you to build better NLP models in a data-centric approach. Semi-automate …

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

Codes in NLP, Deep Learning, Reinforcement Learning and Artificial Intelligence I am a Data Scientist and I code in R, Python and Wolfram Mathematica. Here you will find some Machine Learning, Deep L…

Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!

You will get the following, mlwp-test is the env name used in this example The environment is successfully created. Now activate the Conda environment. You will get the following Install the required…

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