Computervision RecipesBest Practices, code samples, and documentation for Computer Vision.
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Covidnet CtCOVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT
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YannThis toolbox is support material for the book on CNN (http://www.convolution.network).
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Keras model compressionModel Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"
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AnimeganA simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
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Cnn graphConvolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
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Convisualize nbVisualisations for Convolutional Neural Networks in Pytorch
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Mit Deep LearningTutorials, assignments, and competitions for MIT Deep Learning related courses.
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Recursive CnnsImplementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."
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Raccoon datasetThe dataset is used to train my own raccoon detector and I blogged about it on Medium
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Tf Mobilenet V2Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow
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Covid19JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily
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Core50CORe50: a new Dataset and Benchmark for Continual Learning
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Cubicasa5kCubiCasa5k floor plan dataset
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Exposure correctionReference code for the paper "Learning Multi-Scale Photo Exposure Correction", CVPR 2021.
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BtctradingTime Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms
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DeepaiDetection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
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Imagenetv2A new test set for ImageNet
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DmmDeep Markov Models
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TsmoothieA python library for time-series smoothing and outlier detection in a vectorized way.
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Protest Detection Violence EstimationImplementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)
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FmaFMA: A Dataset For Music Analysis
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Pytorch Dc TtsText to Speech with PyTorch (English and Mongolian)
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Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
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SimpsonrecognitionDetect and recognize The Simpsons characters using Keras and Faster R-CNN
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Seq2seq tutorialCode For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
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Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
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Datasets🎁 3,000,000+ Unsplash images made available for research and machine learning
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CoronawatchnlNumbers concerning COVID-19 disease cases in The Netherlands by RIVM, LCPS, NICE, ECML, and Rijksoverheid.
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Data science blogsA repository to keep track of all the code that I end up writing for my blog posts.
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Practical Machine Learning With PythonMaster the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
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All4nlpAll For NLP, especially Chinese.
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Cutout Random ErasingCutout / Random Erasing implementation, especially for ImageDataGenerator in Keras
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LacmusLacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
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Scipy con 2019Tutorial Sessions for SciPy Con 2019
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Deep Viz KerasImplementations of some popular Saliency Maps in Keras
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Deep SteganographyHiding Images within other images using Deep Learning
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Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
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OpenbotOpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.
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ForecastingTime Series Forecasting Best Practices & Examples
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