Awesome Computer Vision:
Section: Software
Entry
Appears in 5 awesome lists
C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library. [BSD]
Section: Software
Section: Machine Learning · C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library. [BSD]
Section: C · C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.
Section: Other · C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
Section: Computer Vision · C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
The definitive curated list of machine learning frameworks, libraries and software organized by language. Covers Python, C++, Java, JavaScript, and more with comprehensive coverage of the ML ecosystem. CC0-1.0 licensed.
Transpile trained ML models into other languages. sklearn-porter - Transpile trained scikit-learn estimators to C, Java, JavaScript and others. mlflow - Manage the machine learning lifecycle, including experimentation, reproducibility and deployment. skll - Command-line utilities to make it easier…
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow. [Apache2]
Deep learning for computer vision
General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation.
is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.
is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete…