Jupyter Notebook deep-neural-networks

Open-source Jupyter Notebook projects categorized as deep-neural-networks

Top 23 Jupyter Notebook deep-neural-network Projects

  • learnopencv

    Learn OpenCV : C++ and Python Examples

    Project mention: Object detection with depth measurement using pre-trained models with OAK-D | reddit.com/r/computerscience | 2022-04-29

    Code Link : https://github.com/spmallick/learnopencv/tree/master/OAK-Object-Detection-with-Depth

  • docs

    TensorFlow documentation (by tensorflow)

  • Scout APM

    Truly a developer’s best friend. Scout APM is great for developers who want to find and fix performance issues in their applications. With Scout, we'll take care of the bugs so you can focus on building great things 🚀.

  • vosk-api

    Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

    Project mention: Mycroft – open-source voice assistant | news.ycombinator.com | 2022-11-22
  • lama

    🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

    Project mention: [task] Python developer for two tasks, one 30$ the other 50$ | reddit.com/r/slavelabour | 2022-10-08

    Task 1: 30$ Write a script to prepare data for https://github.com/saic-mdal/lama. You should be able to prove on video that your script works properly after i give you some data and you train and there's some acceptable output (not perfect, since i know how ml works).

  • tensorflow-deep-learning

    All course materials for the Zero to Mastery Deep Learning with TensorFlow course. (by mrdbourke)

    Project mention: Where can I get pre trained machine learning models? | reddit.com/r/Python | 2022-07-07
  • dl-colab-notebooks

    Try out deep learning models online on Google Colab (by tugstugi)

  • DenseDepth

    High Quality Monocular Depth Estimation via Transfer Learning

  • InfluxDB

    Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Data Platform where developers build real-time applications for analytics, IoT and cloud-native services in less time with less code.

  • neuralforecast

    Scalable and user friendly neural :brain: forecasting algorithms for time series data.

    Project mention: Cash-flow forecasting | reddit.com/r/datascience | 2022-10-07

    -NeuralForecast

  • saliency

    Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

    Project mention: How to display which parts of a single image a Keras model found to be the most significant when making a prediction? | reddit.com/r/MLQuestions | 2022-11-18
  • notebooks

    Set of Jupyter Notebooks linked to Roboflow Blogpost and used in our YouTube videos. (by roboflow-ai)

    Project mention: GitHub - roboflow-ai/notebooks: Set of Jupyter Notebooks linked to Roboflow Blogpost and used in our YouTube videos. | reddit.com/r/deeplearning | 2022-11-25
  • glasses

    High-quality Neural Networks for Computer Vision 😎

  • AlgoBook

    A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

  • stock-prediction-deep-neural-learning

    Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

    Project mention: stock-prediction-deep-neural-learning: NEW Deep Learning And Reinforcement Learning - star count:186.0 | reddit.com/r/algoprojects | 2022-08-06
  • 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

  • MachineLearningWithPython

    Get started with Machine Learning with Python - An introduction with Python programming examples

  • 100DaysOfML

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

    Project mention: 100Days of Machine Learning | reddit.com/r/programming | 2022-10-06
  • deepfake-detection

    DeepFake Detection: Detect the video is fake or not using InceptionResNetV2. (by xinyooo)

  • virtual_drawing_board

    Virtual whiteboard with hand pose estimation

  • ML-Prediction-LoL

    In this project I implemented two machine learning algorithms to predicts the outcome of a League of Legends game.

    Project mention: something is fishy | reddit.com/r/ProgrammerHumor | 2022-02-14
  • kaggle-courses

    Courses on Kaggle

    Project mention: Completed all the Kaggle courses. | dev.to | 2022-07-31
  • Deep-Learning-Push-Up-Counter

    Deep Learning approach to count the number of repetitions in a video of push ups or pull ups.

  • DrugDiscovery-Tox21

    Drug discovery project by making use of the Tox-21 dataset.

    Project mention: [P]Missing Values in Binary Multi-factor Classifier | reddit.com/r/MachineLearning | 2022-02-10

    Code for https://arxiv.org/abs/1503.01445 found: https://github.com/RezaCDoobary/DrugDiscovery-Tox21

  • YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow

    Identify Handwritten Digits using CNN with TensorFlow

  • Zigi

    Close all those tabs. Zigi will handle your updates.. Zigi monitors Jira and GitHub updates, pings you when PRs need approval and lets you take fast actions - all directly from Slack! Plus it reduces cycle time by up to 75%.

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 2022-11-25.

Jupyter Notebook deep-neural-networks related posts

Index

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

Project Stars
1 learnopencv 17,496
2 docs 5,512
3 vosk-api 4,862
4 lama 4,583
5 tensorflow-deep-learning 3,232
6 dl-colab-notebooks 1,454
7 DenseDepth 1,361
8 neuralforecast 977
9 saliency 842
10 notebooks 344
11 glasses 332
12 AlgoBook 245
13 stock-prediction-deep-neural-learning 222
14 conformal_classification 145
15 MachineLearningWithPython 118
16 100DaysOfML 67
17 deepfake-detection 51
18 virtual_drawing_board 30
19 ML-Prediction-LoL 25
20 kaggle-courses 23
21 Deep-Learning-Push-Up-Counter 15
22 DrugDiscovery-Tox21 7
23 YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow 4
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