Repository Index

An Open Source Machine Learning Framework for Everyone

• tensorflow
• machine-learning
• python
• deep-learning

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

• gbdt
• gbrt
• gbm
• distributed-systems

TranslatedPArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (Core framework of 'PaddlePaddle' (飞桨, Feijiang), for deep learning & machine learning: high-performance single-machine and distributed training, and cross-platform deployment)

• paddlepaddle
• deep-learning
• scalability
• machine-learning

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.

• gbdt
• gbm
• machine-learning
• data-mining

A toolkit for making real world machine learning and data analysis applications in C++

• machine-learning
• deep-learning
• c-plus-plus
• python

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.

• machine-learning
• decision-trees
• gradient-boosting
• gbm

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.

• machine-learning
• statistics
• data-science
• data-analysis

Reinforcement Learning environments based on the 1993 game Doom :godmode:

• deep-learning
• reinforcement-learning
• python
• vizdoom

A collection of GICP-based fast point cloud registration algorithms

• point-cloud
• pcl
• gicp
• icp

An efficient C++20 GPU numerical computing library with Python-like syntax

• cuda
• gpu
• gpgpu
• hpc

A lightweight header-only library for using Keras (TensorFlow) models in C++.

• tensorflow
• deep-learning
• keras
• cpp

Robotics with GPU computing

• point-cloud
• cuda
• pybind11
• gpu

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

• optimization
• optimization-algorithms
• optimization-methods
• optimization-problem

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

• svm
• regression
• classification
• machine-learning

Ultra high-performance secp256k1 ECC engine | Python, Node.js, Rust, Go, C#, Swift, Java bindings | CUDA, Metal, OpenCL GPU | ECDSA, Schnorr, FROST, MuSig2, BIP-352 | 15+ platforms

• cryptography
• cuda
• riscv
• secp256k1

Micropython binding for the ESP32 DL AI vision models like face detection / recognition, imagenet classifier or pedestrian (human) detection

• esp32
• face-detection
• imagenet-classifier
• micropython