deepdetect

Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE (by jolibrain)

Deepdetect Alternatives

Similar projects and alternatives to deepdetect

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better deepdetect alternative or higher similarity.

deepdetect reviews and mentions

Posts with mentions or reviews of deepdetect. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-13.
  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    18 projects | dev.to | 13 Dec 2023
    For those seeking a lightweight solution for setting up deep learning REST APIs across platforms without the complexity of Kubernetes, Deepdetect is worth considering.
  • [D] Deep Learning Framework for C++.
    7 projects | /r/MachineLearning | 12 Jun 2022
    But you need to have good reasons to do it. Ours is that we have a multi-backend framework, and that we don't want any step in between dev & run. C++ allows for this since the same code can run on training server and edge device as needed. It also allows for building full AI applicatioms with great performances (e g. real time) We dev & use https://github.com/jolibrain/deepdetect for these purposes and it serves us very well, but it's not the faint of heart !
  • [P] Real-time AR for jewelry virtual try on that looks real, done with joliGAN, based on a few 2D videos and no 3D model
    2 projects | /r/MachineLearning | 8 Jun 2022
    - Real-time is achieved through our full C++ Open Source backend DeepDetect, https://github.com/jolibrain/deepdetect. We use CUDA along with OpenCV and TensorRT to chain multiple models (ring detection and generator mostly), and we make sure the data remain within CUDA memory at all time. This allows us to reach ~60 FPS on 1080Ti and 20% more on average on an RTX3090.
  • [P] Benchmarking OpenBLAS on an Apple MacBook M1
    1 project | /r/MachineLearning | 30 Dec 2020
    Interesting, thanks. Recently benchmarked inference with Vulkan/MoltenVK/NCNN, M1 GPU is roughly 30% faster than M1 CPU, https://github.com/jolibrain/deepdetect/pull/1105 for single batch inference (NCNN does not really support batch size > 1).
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    www.influxdata.com | 24 Apr 2024
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7.0
about 1 month ago

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