Raccoon datasetThe dataset is used to train my own raccoon detector and I blogged about it on Medium
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Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
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Vae TensorflowA Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).
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WhylogsProfile and monitor your ML data pipeline end-to-end
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AnimeganA simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
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Cross Lingual Voice CloningTacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.
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Imagenetv2A new test set for ImageNet
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Pytorch VaeA CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
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Covid19zaCoronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa
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Tehran StocksA python package to access tsetmc data
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TedsdsApache Spark - Turbofan Engine Degradation Simulation Data Set example in Apache Spark
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Vae protein functionProtein function prediction using a variational autoencoder
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FmaFMA: A Dataset For Music Analysis
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Know Your IntentState of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.
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Cifar 10.1Release of CIFAR-10.1, a new test set for CIFAR-10.
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Shape Detection🟣 Object detection of abstract shapes with neural networks
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Neural OdeJupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
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Dataset ApiThe ApolloScape Open Dataset for Autonomous Driving and its Application.
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Covid CtCOVID-CT-Dataset: A CT Scan Dataset about COVID-19
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Covid19 twitterCovid-19 Twitter dataset for non-commercial research use and pre-processing scripts - under active development
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Caffenet BenchmarkEvaluation of the CNN design choices performance on ImageNet-2012.
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Covidnet CtCOVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT
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Wikipedia ner📖 Labeled examples from wiki dumps in Python
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ObjectronObjectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
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Cubicasa5kCubiCasa5k floor plan dataset
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Openml RR package to interface with OpenML
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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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ContactposeLarge dataset of hand-object contact, hand- and object-pose, and 2.9 M RGB-D grasp images.
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Generative ModelsAnnotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
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Motion SenseMotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)
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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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Data Science Resources👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
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Pytorch Vq VaePyTorch implementation of VQ-VAE by Aäron van den Oord et al.
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Trump LiesTutorial: Web scraping in Python with Beautiful Soup
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Tf VqvaeTensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
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Datasets🎁 3,000,000+ Unsplash images made available for research and machine learning
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Taco🌮 Trash Annotations in Context Dataset Toolkit
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Covid Chestxray DatasetWe are building an open database of COVID-19 cases with chest X-ray or CT images.
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Data Science HacksData Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
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Datasetssource{d} datasets ("big code") for source code analysis and machine learning on source code
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Comma2k19A driving dataset for the development and validation of fused pose estimators and mapping algorithms
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Joint VaePytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation 🌟
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CoronawatchnlNumbers concerning COVID-19 disease cases in The Netherlands by RIVM, LCPS, NICE, ECML, and Rijksoverheid.
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WeatherbenchA benchmark dataset for data-driven weather forecasting
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