A native C CPU inference engine for running the 284B-A13B DeepSeek-V4-Flash-0731 on one laptop, reaching up to 1.12 token/s on tested hardware while streaming the 167 GB checkpoint from disk with a tested 8 GB memory path and no GPU or Python.
C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.
Ultralytics' YOLOv8 implementation with C++ support for real-time object detection and tracking, optimized for edge devices.
On-device streaming speech recognition runtime with C API for Linux (aarch64/x8664). Based on NVIDIA NeMo FastConformer (80 ms cache-aware lookahead). Companion Silero VAD, wake-word, and 14-command KWS via same runtime.
A C++ edge video AI engine for RTSP ingestion, CV/VLM inference, visual pipeline orchestration, alarms, and event delivery on Sophon and Rockchip NPUs.
VIGRA is a genertic cross-platform C++ computer vision and machine learning library for volumes of arbitrary dimensionality with Python bindings.
A real-time multi-person keypoint detection library for body, face, hands, and foot estimation
A simple Multi-armed Bandit library. [Deprecated]
A deep learning framework developed with cleanliness, readability, and speed in mind. [DEEP LEARNING]
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.
The Computational Network Toolkit (CNTK) by Microsoft Research, is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph.
A machine learning API and server written in C++11. It makes state of the art machine learning easy to work with and integrate into existing applications.
A software library created by Amazon for training and deploying deep neural networks using GPUs which emphasizes speed and scale over experimental flexibility.
A dynamic neural network library working well with networks that have dynamic structures that change for every training instance. Written in C++ with bindings in Python.
A highly-modular C++ machine learning library for embedded electronics and robotics.
Easy-to-use and flexible AutoML library for Python.
A high performance software library developed by Intel and optimized for Intel's architectures. Library provides algorithmic building blocks for all stages of data analytics and allows to process data in batch, online and distributed modes.
Microsoft's fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
A generic approach that allows to mimic most factorization models by feature engineering.
A production-ready library for multicalibration, fairness, and bias correction in machine learning models.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms
An open-source cross-platform performance library for deep learning applications.
Open source AI infrastructure layer. Eight agents run automatically: security, caching, memory, hallucination detection, and tamper-proof audit trail. Runs locally.
A general-purpose library with C/C++ interface for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found here.
A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
An open-source, low-code machine learning library in Python that automates machine learning workflows.
The Shogun Machine Learning Toolbox.
A fast out-of-core learning system.
A fast parallel implementation of Connectionist Temporal Classification (CTC), on both CPU and GPU.
A parallelized optimized general purpose gradient boosting library.
A fast library for GBDTs and Random Forests on GPUs.
A fast SVM library on GPUs and CPUs.
A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.
A library for automated feature engineering. It excels at transforming transactional and relational datasets into feature matrices for machine learning using reusable feature engineering "primitives".
A library for learning neural networks, has C-interface, net set in JSON. Written in C++ with bindings in Python, C++ and C#.