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The Top 23 Jupyter Notebook Neural Network Image Classification Open Source Projects

Open source projects categorized as Jupyter Notebook Neural Network Image Classification
Categories > Machine Learning > Image Classification
Categories > Data Processing > Jupyter Notebook
Categories > Machine Learning > Neural Network
Super Gradients ⭐ 4,125
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
dependent packages 5total releases 38most recent commit 3 months agopypi super-gradients} Downloads
Mish ⭐ 1,269
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
most recent commit 3 months ago
Computer Vision ⭐ 354
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
most recent commit 6 years ago
Deep Learning With Python ⭐ 197
Deep learning codes and projects using Python
most recent commit 3 years ago
Pixel_level_land_classification ⭐ 166
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
most recent commit 5 years ago
Deep_learning_in_python_2018 ⭐ 114
Deep Learning workshop including image classification, face recognition, Object detection, language modelling, image captioning and neural machine translation.
most recent commit a year ago
Multi Task Learning ⭐ 100
Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.
most recent commit 6 years ago
Cs231n ⭐ 69
Convolutional Neural Networks for Visual Recognition in Stanford
most recent commit 8 years ago
Deep Learning For Earth Observation ⭐ 56
Application of deep learning for earth observation.
most recent commit 3 months ago
How To Train Your Neural Net ⭐ 55
Deep learning research implemented on notebooks using PyTorch.
most recent commit 2 years ago
Embedded_gcnn ⭐ 54
Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow
most recent commit 6 years ago
Tensorflow For Beginners ⭐ 54
Introduction to deep learning with Tensorflow.
most recent commit 7 years ago
Image Classifier ⭐ 53
Final Project of the Udacity AI Programming with Python Nanodegree
most recent commit 6 years ago
Transformer In Transformer ⭐ 40
An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches
total releases 2most recent commit 2 years ago
Deep Learning With Python 2nd ⭐ 39
<케라스 창시자에게 배우는 딥러닝 2판> 도서의 코드 저장소
most recent commit 6 months ago
Bag_of_tricks_cnn ⭐ 37
The implementation of paper "Bag of Tricks for Image Classification with Convolutional Neural Networks" by Xie et al.
most recent commit 5 years ago
Crowdlayer ⭐ 37
A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.
most recent commit 3 years ago
Deep Learning ⭐ 31
Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the MNIST dataset, namely, a CNN using Keras and a fully-connected network using TensorFlow.
most recent commit 5 years ago
Deep_learning_projects ⭐ 28
most recent commit 3 years ago
Head Network Distillation ⭐ 27
[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"
most recent commit 10 months ago
Qnn Inference Examples ⭐ 25
Jupyter notebook examples on image classification with quantized neural networks
most recent commit 4 years ago
Advancedanalyticslabs ⭐ 24
Analytics labs notebooks for Statistics and Business School students
most recent commit 3 months ago
Brain Tumor Classification Using Deep Learning Algorithms ⭐ 21
To Detect and Classify Brain Tumors using CNN and ANN as an asset of Deep Learning and to examine the position of the tumor.
most recent commit 5 months ago
The 2 Latest Releases In Jupyter Notebook Neural Network Image Classification Open Source Projects
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