7 and a quarter hours of largely highway driving. Enough to train what we had in Bloomberg. Training a steering angle predictor. Training a generative image model. Or get it at archive. 45 GB compressed, 80 GB uncompressed. These measurements are transformed into a uniform 100 Hz time base. Number frames x 3 x 160 x 320.

Sweep is a scanning LiDAR sensor designed to bring powerful 360 degree sensing capabilities to everyone for an affordable price. Hear what others are saying about sweep. By incorporating intelligent operating modes in Sweep you can output only the count and location of moving objects, which reduces the data bandwidth and processing time required by security hubs. And 3D effect artists in the film industry.

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Microsoft COCO Image Captioning Challenge. LiTS - Liver Tumor Segmentation Challenge. SemEval 2017 Task 10 ScienceIE.

Hyperopt sequential model-based optimization in structured spaces. Hyperopt-nnet neural nets and DBNs. Hyperopt-convnet convolutional nets for image categorization. Hyperopt-sklearn automatic selection and tuning of sklearn estimators. Placeholder webpage, try Hyperopt Organization on GitHub. Mdash; Theme by orderedlist.