An Open Source Machine Learning Framework for Everyone
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Tesseract Open Source OCR Engine (main repository)
Cross-platform, customizable ML solutions for live and streaming media.
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Caffe: a fast open framework for deep learning.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
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, Dask, Flink and DataFlow
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
Tensor library for machine learning
A toolkit for making real world machine learning and data analysis applications in C++
Open3D: A Modern Library for 3D Data Processing
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Fit interpretable models. Explain blackbox machine learning.
Instant Kubernetes-Native Application Observability
header only, dependency-free deep learning framework in C++14
mlpack: a fast, header-only C++ machine learning library
A C++ standalone library for machine learning
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.