The organization Deep Insight has a notable presence on GitHub, focusing on various projects primarily in Python, C++, Go, and JavaScript. Their repositories include significant contributions such as insightface, a state-of-the-art face analysis project, and insightocr, which implements OCR functionalities using MXNet. These projects reflect their expertise in machine learning and computer vision.
Top languages
Public repositories
insightface
State-of-the-art 2D and 3D Face Analysis Project
inswapper-512-live
No description provided for this repository.
insightocr
MXNet OCR implementation. Including text recognition and detection.
mxnet-SSH
Reproduce SSH (Single Stage Headless Face Detector) with MXNet
mtcnn-ncnn
No description provided for this repository.
mxnet-mtcnn
mtcnn mxnet C++ implementation
image-retrieval
Instance-level image retrieval, used in street-to-shop scene. Leveraging large-scale noisy data, and clean it automatically. Learning R-MAC descriptors using a larger network such as ResNet101. Train with a siamese architecture to optimize a triplet loss.
transfer-mxnet
transfer learning written in mxnet
mxnet-operator
Tools for ML/MXNet on Kubernetes.
mxnet-serving
mxnet model serving study
some-resources
No description provided for this repository.
paralite
Machine Learning Platform Based on PS-Lite
Frequently asked questions
What does deepinsight build on GitHub?
Deep Insight builds various projects on GitHub, with a focus on machine learning and computer vision. Notable repositories include insightface for face analysis and insightocr for optical character recognition, showcasing their expertise in these areas.
Which programming languages does deepinsight use?
Deep Insight primarily utilizes Python, C++, Go, and JavaScript in their public GitHub repositories. This diverse set of languages allows them to develop a wide range of applications and tools in the field of machine learning.
Are deepinsight's repositories public?
Yes, all repositories under the Deep Insight organization are public on GitHub. This transparency allows users and developers to explore their work, contribute to projects, and utilize their tools for various applications.
Is this exposure intended?
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