Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it

Overview

Awesome AI-ML-DL Awesome License: CC BY-SA 4.0

Better NLP: Better NLP

NLP Java: NLP Java | NLP Clojure: NLP Clojure | NLP Kotlin: NLP Kotlin | NLP Scala: NLP Scala |
NLP using DL4J (cuda) NLP using DL4J (cuda)

Tribuo: Tribuo | DeepNetts: DeepNetts | Dataiku DSS: Dataiku DSS | Grakn: Grakn | Jupyter-Java: Jupyter-Java |
MLPMNist using DL4J: MLPMNist using DL4J | Zeppelin: Zeppelin


Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

This repo is dedicated to engineers, developers, data scientists and all other professions that take interest in AI, ML, DL and related sciences. To make learning interesting and to create a place to easily find all the necessary material. Please contribute, watch, star, fork and share the repo with others in your community.

Watching the repo will keep you posted of all the changes (commits) that go into the repo.

Also, please SPONSOR us, find out how-to!

Contributing

Contributions are very welcome, please share back with the wider community (and get credited for it)!

Please have a look at the CONTRIBUTING guidelines, also have a read about our licensing policy.

Sponsoring

With GitHub's new project sponsor program you can now sponsor projects like this, see how.

Comments
  • Wolfram Neural Net Repository

    Wolfram Neural Net Repository

    Probably a useful link to add to this repo (under Mathematica / Wolfram Language):

    https://resources.wolframcloud.com/NeuralNetRepository/

    The Wolfram Neural Net Repository is a public resource that hosts an expanding collection of trained and untrained neural network models, suitable for immediate evaluation, training, visualization, transfer learning and more.

    enhancement Hacktoberfest2019 
    opened by arnoudbuzing 7
  • Why to add

    Why to add "Tutorial" in names of R articles added?

    Articles are self explanatory from their headings. I feel adding tutorial specifically under R subsection is somewhat should not be there.

    Just like other good articles by great authors, their heading should be kept unchanged.

    opened by dA505819 5
  • Broken link

    Broken link

    Reached this awesome list from the : akullpp/awesome-java .

    https://github.com/neomatrix369/awesome-ai-ml-dl/blob/master/details/java-jvm.md#java

    Using Java for Artificial Intelligence (Tweet)

    This link is broken.

    Thank you!

    opened by tjj225 4
  • Added Computer Vision topic under Julia, Python and R

    Added Computer Vision topic under Julia, Python and R

    Purpose : To add materials of Computer Vision field into the repository as it had none.

    Contents : Motivation (intro to computer vision), Digital image processing, Opencv and its tutorials, Courses from other organisations, Conferences to follow and some famous computer vision blogs.

    @neomatrix369 please check the pull request. Waiting for your feedback on it.

    enhancement Hacktoberfest2019 
    opened by jerryfrancis-97 3
  • Need for adding Computer Vision topic under Julia, Python and R

    Need for adding Computer Vision topic under Julia, Python and R

    Computer vision topic should focus on the basics of image processing , different filters used, and will then move onto CNNs and deep learning methods of computer vision.

    enhancement Hacktoberfest2019 
    opened by jerryfrancis-97 3
  • Broken link for Object tracking under Image processing heading

    Broken link for Object tracking under Image processing heading

    https://github.com/virgili0/Virgilio/blob/master/serving/inferno/computer-vision/object-tracking/object-tracking.ipynb is giving error no. 404, under heading Image Processing under Computer Vision in /details/julia-python-and-r.md

    deadlinks 
    opened by therc01 2
  • Add Flyte

    Add Flyte

    Signed-off-by: Samhita Alla [email protected]

    Flyte is a workflow automation platform for complex, mission-critical data and ML processes at scale. A detailed overview of the features can be seen in the GitHub repo.

    enhancement 
    opened by samhita-alla 2
  • added measures.md #hacktoberfest

    added measures.md #hacktoberfest

    This PR is an extension to introduction to code-mixing and code-switching!

    • added a few important metrics and their descriptions useful for modeling code-mixing corpus
    • included useful resources which described the metrics in detail
    enhancement hacktoberfest hacktoberfest-accepted 
    opened by UmaGunturi 2
  • Add Automated Testing for Broken Links in Markdown Files

    Add Automated Testing for Broken Links in Markdown Files

    Requesting a new issue to be assigned to me:

    Add automated testing to ensure all links in markdown files are not broken, and alert when there are issues with links.

    @neomatrix369 - let me know if you want me to work on this issue or if it's not helpful for your project! I would love to contribute as part of hacktoberfest.

    enhancement deadlinks automation 
    opened by MattRudy 2
  • Find and fix broken/dead links

    Find and fix broken/dead links

    As see from #53 we can have broken/dead links, links that once worked can be unavailable for reasons outside the control of this project/repo!

    Hence I have decided to manually scan (for now) the repo from time to time for such links and fix them - if there is one. Here are the steps to take:

    New broken/dead links

    • find missing links using, markdown-link-check (see https://www.npmjs.com/package/markdown-link-check to find out how to install and use it)
    • once installed, use the below command in the root of the project:
    $ ls **/*.md | xargs -n 1 markdown-link-check --quiet
    
    ### This recursively finds all markdown files in the repo, 
    ### scans them and only reports those files which have 
    ### broken/dead links in them. 
    
    • try to fix the broken/dead links by hand
    • we are only looking for HTTP response code of 404, any other response codes can be ignored
    • if a fix cannot be found, best mark the link with a '[deadlink]' marker
    • in certain cases it's a good idea to leave the old link with the '[deadlink]' marker next to it even though we have found a new working one

    Existing broken/dead links across the repo

    Existing dead/broken links are marked with the '[deadlink]' marker.

    As part of this issue, fixing these links is also helpful - although if they are left in there it's cause their fix wasn't immediately available or found on searching on the relevant sources.

    Eventually, we can automate the task of finding such links via a GitHub action during GitHub events like commit, push or pull request creation.

    good first issue hacktoberfest 
    opened by neomatrix369 4
  • Add more features to the BetterNLP library

    Add more features to the BetterNLP library

    On the back of this discussion, @shahanesanket and I will take this further https://github.com/pandas-profiling/pandas-profiling/issues/278, some high-level ideas:

    • Missing value analysis
    • Text length analysis
      • 2.1 min, max, average, quantiles
      • 2.2 freq words, infrequent words (can include the deepmoji project's tokenizer. it's very robust)
      • 2.2 word cloud. (if it isn't a far stretched goal)

    @shahanesanket let's continue with our discussions here.

    enhancement hacktoberfest discussion 
    opened by neomatrix369 3
Owner
mani
3X @Kaggle Expert @Java champion, Polyglot, Software Crafter, performance, @graalvm, AI, ML, DL, NLP, Data Science, Developer communities, speaker, blogger
mani
Show-attend-and-tell - TensorFlow Implementation of "Show, Attend and Tell"

Show, Attend and Tell Update (December 2, 2016) TensorFlow implementation of Show, Attend and Tell: Neural Image Caption Generation with Visual Attent

Yunjey Choi 902 Nov 29, 2022
TensorFlow implementation of ENet

TensorFlow-ENet TensorFlow implementation of ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation. This model was tested on th

Kwotsin 255 Oct 17, 2022
Async API for controlling Hue Lights

Hue API Async API for controlling Hue Lights Documentation: hue-api.nirantak.com Source: github.com/nirantak/hue-api Installation This is an async cli

Nirantak Raghav 4 Nov 16, 2022
Used to record WKU's utility bills on a regular basis.

WKU水电费小助手 一个用于定期记录WKU水电费的脚本 Looking for English Readme? 背景 由于WKU校园内的水电账单系统时常存在扣费延迟的现象,而补扣的费用缺乏令人信服的证明。不少学生为费用摸不着头脑,但也没有申诉的依据。为了更好地掌握水电费使用情况,留下一手证据,我开源

2 Jul 21, 2022
Tutoriais publicados nas nossas redes sociais para obtenção de dados, análises simples e outras tarefas relevantes no mercado financeiro.

Tutoriais Públicos Tutoriais publicados nas nossas redes sociais para obtenção de dados, análises simples e outras tarefas relevantes no mercado finan

Trading com Dados 68 Oct 15, 2022
MonoScene: Monocular 3D Semantic Scene Completion

MonoScene: Monocular 3D Semantic Scene Completion MonoScene: Monocular 3D Semantic Scene Completion] [arXiv + supp] | [Project page] Anh-Quan Cao, Rao

298 Jan 08, 2023
Relative Uncertainty Learning for Facial Expression Recognition

Relative Uncertainty Learning for Facial Expression Recognition The official implementation of the following paper at NeurIPS2021: Title: Relative Unc

35 Dec 28, 2022
My implementation of Fully Convolutional Neural Networks in Keras

Keras-FCN This repository contains my implementation of Fully Convolutional Networks in Keras (Tensorflow backend). Currently, semantic segmentation c

The Duy Nguyen 15 Jan 13, 2020
Article Reranking by Memory-enhanced Key Sentence Matching for Detecting Previously Fact-checked Claims.

MTM This is the official repository of the paper: Article Reranking by Memory-enhanced Key Sentence Matching for Detecting Previously Fact-checked Cla

ICTMCG 13 Sep 17, 2022
MIM: MIM Installs OpenMMLab Packages

MIM provides a unified API for launching and installing OpenMMLab projects and their extensions, and managing the OpenMMLab model zoo.

OpenMMLab 254 Jan 04, 2023
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

DensePose: Dense Human Pose Estimation In The Wild Rıza Alp Güler, Natalia Neverova, Iasonas Kokkinos [densepose.org] [arXiv] [BibTeX] Dense human pos

Meta Research 6.4k Jan 01, 2023
ParmeSan: Sanitizer-guided Greybox Fuzzing

ParmeSan: Sanitizer-guided Greybox Fuzzing ParmeSan is a sanitizer-guided greybox fuzzer based on Angora. Published Work USENIX Security 2020: ParmeSa

VUSec 158 Dec 31, 2022
A big endian Gentoo port developed on a Pine64.org RockPro64

Gentoo-aarch64_be A big endian Gentoo port developed on a Pine64.org RockPro64 The endian wars are over... little endian won. As a result, it is incre

Rory Bolt 6 Dec 07, 2022
Pytorch implementation of DeepMind's differentiable neural computer paper.

DNC pytorch This is a Pytorch implementation of DeepMind's Differentiable Neural Computer (DNC) architecture introduced in their recent Nature paper:

Yuanpu Xie 91 Nov 21, 2022
Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts

DataSelection-NMT Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts Quick update: The paper got accepted o

Javad Pourmostafa 6 Jan 07, 2023
Dyalog-apl-docset - Dyalog APL Dash Docset Generator

Dyalog APL Dash Docset Generator o alasa e kili sona kepeken tenpo lili a A Dash

Maciej Goszczycki 1 Jan 10, 2022
Data and analysis code for an MS on SK VOC genomes phenotyping/neutralisation assays

Description Summary of phylogenomic methods and analyses used in "Immunogenicity of convalescent and vaccinated sera against clinical isolates of ance

Finlay Maguire 1 Jan 06, 2022
Implementation for Paper "Inverting Generative Adversarial Renderer for Face Reconstruction"

StyleGAR TODO: add arxiv link Implementation of Inverting Generative Adversarial Renderer for Face Reconstruction TODO: for test Currently, some model

155 Oct 27, 2022
harmonic-percussive-residual separation algorithm wrapped as a VST3 plugin (iPlug2)

Harmonic-percussive-residual separation plug-in This work is a study on the plausibility of a sines-transients-noise decomposition inspired algorithm

Derp Learning 9 Sep 01, 2022
An implementation of RetinaNet in PyTorch.

RetinaNet An implementation of RetinaNet in PyTorch. Installation Training COCO 2017 Pascal VOC Custom Dataset Evaluation Todo Credits Installation In

Conner Vercellino 297 Jan 04, 2023