deepdetect VS DALI

Compare deepdetect vs DALI and see what are their differences.

DALI

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications. (by NVIDIA)
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deepdetect DALI
4 5
2,492 4,863
0.0% 1.8%
7.0 9.6
about 1 month ago about 20 hours ago
C++ C++
GNU General Public License v3.0 or later Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

deepdetect

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.

DALI

Posts with mentions or reviews of DALI. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-15.

What are some alternatives?

When comparing deepdetect and DALI you can also consider the following projects:

ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform

netron - Visualizer for neural network, deep learning and machine learning models

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

Blurry - Blurry is an easy blur library for Android

tensorflow-wheels - Tensorflow Wheels

vision - Datasets, Transforms and Models specific to Computer Vision

YoloV7-ncnn-Jetson-Nano - YoloV7 for a Jetson Nano using ncnn.

mmaction2 - OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

executorch - End-to-end solution for enabling on-device AI across mobile and edge devices for PyTorch models

mdspan - Reference implementation of mdspan targeting C++23

marian - Fast Neural Machine Translation in C++

flashlight - A C++ standalone library for machine learning