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Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
📚 Jupyter notebook tutorials for OpenVINO™
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
A paper list of object detection using deep learning.
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
This repository is to prepare for Machine Learning interviews.
PyTorch implementation of neural style randomization for data augmentation
Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach"…
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery
PyTorch Extension Library of Optimized Scatter Operations
AUR helper with minimal dependencies. Review PKGBUILDs all in once, next build them all without user interaction.
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery
Compact Bilinear Pooling for PyTorch
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
The devkit of the nuScenes dataset.
Implementation of the paper "Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching"
Image-to-Image Translation in PyTorch
Accurate Single Stage Detector Using Recurrent Rolling Convolution
[unmaintained] An AUR helper that minimizes user interaction
An Open Source Machine Learning Framework for Everyone
Caffe implementation of our multi-scale object detection framework
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
Tensors and Dynamic neural networks in Python with strong GPU acceleration