Jupyter Notebook Artificial intelligence

Open-source Jupyter Notebook projects categorized as Artificial intelligence Edit details

Top 23 Jupyter Notebook Artificial intelligence Projects

  • computervision-recipes

    Best Practices, code samples, and documentation for Computer Vision.

    Project mention: How is accuracy calculated in multi label classification | reddit.com/r/MLQuestions | 2022-01-31
  • machine-learning-for-trading

    Code for Machine Learning for Algorithmic Trading, 2nd edition.

    Project mention: Algorithmic trading | reddit.com/r/FinancialCareers | 2022-08-11

    My favourite book on algorithmic trading is Machine Learning for Algorithmic Trading by Stefan Jansen. Or anything by Ernest Chan.

  • SonarQube

    Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.

  • nlpaug

    Data augmentation for NLP

    Project mention: Contextual Similarity between a list of n-grams and a website | reddit.com/r/MLQuestions | 2022-06-11

    3) Use deep contextual models with wordpiecing/BPE tokenizers- like all the models: BERT, RoBERTA, etc. On the simpler side, could also swap words with synonyms, which is easy to do with this library: https://github.com/makcedward/nlpaug. Instead of a single n-gram per topic, it might be nice to have a bundle of related words- you could play around with wordnet and see if that's helpful- also easy to do w/ nlpaug.

  • Reinforcement-Learning

    Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning (by andri27-ts)

  • Data-science

    Collection of useful data science topics along with code and articles (by khuyentran1401)

    Project mention: Half of women will get a false positive 3D mammogram, study finds | news.ycombinator.com | 2022-03-25

    And if you can't to positive tests and were each time randomly selected for the test, the probability to be really positive is 99%


  • AI-For-Beginners

    12 Weeks, 24 Lessons, AI for All!

    Project mention: Announcing a New Free Curriculum: Artificial Intelligence for Beginners | dev.to | 2022-05-26

    Students can use this curriculum to learn the basics of AI and Neural Networks. In addition to text-based lessons, there are executable Jupyter Notebooks with samples, as well as labs that you can do to deepen your knowledge. You can run notebooks either on your local computer or in the cloud. Join your peers on GitHub Discussion Boards to learn together and watch for more learning opportunities online.

  • MEDIUM_NoteBook

    Repository containing notebooks of my posts on Medium

    Project mention: Understanding time2vec | reddit.com/r/deeplearning | 2022-03-20
  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • machine-learning-experiments

    🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

  • imodels

    Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

    Project mention: Random Forest Estimation Question | reddit.com/r/datascience | 2022-07-04

    Option 2) fit a model from https://github.com/csinva/imodels on the predicted values of the RF

  • cryptocurrency-price-prediction

    Cryptocurrency Price Prediction Using LSTM neural network

  • 100DaysofMLCode

    My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

  • elastic_transformers

    Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

  • Fast-Transformer

    An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow

    Project mention: I implemented Fastformer: Additive Attention in TensorFlow | reddit.com/r/tensorflow | 2021-12-27
  • diffusion_models

    Minimal standalone example of diffusion model

    Project mention: A minimal standalone example of diffusion model | news.ycombinator.com | 2022-06-09
  • conformal_classification

    Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

    Project mention: [R] Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification - Link to a free online lecture by the author in comments | reddit.com/r/MachineLearning | 2022-03-06

    ​Uncertainty Sets for Image Classifiers using Conformal Prediction https://arxiv.org/abs/2009.14193 https://github.com/aangelopoulos/conformal_classification

  • CenterSnap

    Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"

    Project mention: In A Latest Computer Vision Research, Researchers Propose ShAPO; An End-To-End Method For Joint Multi-Object Detection, 3D Textured Reconstruction, 6D Object Pose, And Size Estimation | reddit.com/r/computervision | 2022-08-07

    Continue reading | Check out the paper, github link and project page.

  • artificial-intelligence-and-machine-learning

    A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

    Project mention: Perceptron Algorithm from Scratch in Python | reddit.com/r/programming | 2022-01-12

    Thanks, you can check out the github repository if needed!

  • ai-seed

    1000+ ready code templates to kickstart your next AI experiment

    Project mention: Show HN: AutoAI | news.ycombinator.com | 2021-11-12

    Thanks for your question. Yes, we did research the space a lot before making AutoAI. Here is what we found:

    PyCaret: Semi-automatic. You do the first run; then you figure the next set of runs. Ensemble models require manual configuration.

    Tpot: Does a great job. Generates 4-5 lines of py code too. But does not support Neural Networks / DNN. So works only for problems where GOFAI works.

    H2O.ai: They have an open-source flavor, but the best way to use it is the enterprise version on the H2O cloud. The interface is confusing, and the final output is black-box.

    Now there are many in the enterprise category, such as DataRobot, AWS SageMaker, Azure etc. Most are unaffordable to Data Scientists unless your employer is sponsoring the platform.

    AutoAI: This is 100% automated. Uses GOFAI, Neural Networks and DNN, all in one box. It is 100% White-box. It is the only AutoML framework that generates high-quality (1000s of lines) of Jupyter Notebook code. You can check some example codes here: https://cloud.blobcity.com

  • language-planner

    Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"

    Project mention: [D] Paper Discussion Video - Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents (+Author Interview) | reddit.com/r/MachineLearning | 2022-02-08
  • tabular-dl-num-embeddings

    The official implementation of the paper "On Embeddings for Numerical Features in Tabular Deep Learning"

    Project mention: [R] New paper on Tabular DL: "On Embeddings for Numerical Features in Tabular Deep Learning" | reddit.com/r/MachineLearning | 2022-03-17

    JFYI: recently, we have split our codebase into separate projects: - https://github.com/Yura52/rtdl - https://github.com/Yura52/tabular-dl-revisiting-models - (the new one) https://github.com/Yura52/tabular-dl-num-embeddings

  • EfficientWord-Net

    OneShot Learning-based hotword detection.

    Project mention: New Opensource Hotword Detector : EfficientWord-Net | reddit.com/r/raspberry_pi | 2021-11-10

    Github Link : https://github.com/Ant-Brain/EfficientWord-Net

  • Social_Distancing_with_AI

    Monitor people violating Social Distancing or not wearing Face Masks in public through CCTV footage.

    Project mention: Getting the most out of my data? | reddit.com/r/learnmachinelearning | 2022-03-10

    I was applying [this project](https://github.com/rohanrao619/Social_Distancing_with_AI) to some local CCTV footage I have. Came out real nice. TLDR - it's an AI that tracks people in footage, and checks whether they're wearing masks or not, and keeping their social distance or not. Textual results, for example, look like this:

  • 100DaysOfML

    100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building

    Project mention: 100DaysOFML in building | reddit.com/r/MachineLearning | 2022-05-02
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2022-08-11.

Jupyter Notebook Artificial intelligence related posts


What are some of the best open-source Artificial intelligence projects in Jupyter Notebook? This list will help you:

Project Stars
1 computervision-recipes 8,594
2 machine-learning-for-trading 6,019
3 nlpaug 3,429
4 Reinforcement-Learning 3,423
5 Data-science 2,730
6 AI-For-Beginners 1,491
7 MEDIUM_NoteBook 1,426
8 machine-learning-experiments 1,295
9 imodels 875
10 cryptocurrency-price-prediction 477
11 100DaysofMLCode 246
12 elastic_transformers 148
13 Fast-Transformer 137
14 diffusion_models 126
15 conformal_classification 122
16 CenterSnap 117
17 artificial-intelligence-and-machine-learning 106
18 ai-seed 87
19 language-planner 86
20 tabular-dl-num-embeddings 85
21 EfficientWord-Net 79
22 Social_Distancing_with_AI 57
23 100DaysOfML 50
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