A lightweight C++ machine learning library for embedded electronics and robotics.
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CAI NEURAL API - Pascal based deep learning neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
- pascal
- lazarus
- delphi
- free-pascal
Interactive, source-linked ML workflow diagrams written by your coding assistant (Copilot, Codex or Claude Code) and opened in VS Code.
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
- 3d-object-detection
- 3d-detection
- 3d-deep-learning
- pytorch
Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
- tensorflow
- tensorflow-tutorials
- mnist-classification
- mnist
OCaml bindings for PyTorch
:hospital: Medical Text Mining and Information Extraction with spaCy
- natural-language-processing
- medical-natural-language-processing
- machine-learning
- metamap
An application for controlling 2D plotters, cutters, engravers, and CNC machines.
A fast HTTP client for Common Lisp
- common-lisp
- http-client
Image quality is an open source software library for Image Quality Assessment (IQA).
- artificial-intelligence
- machine-learning
- image-quality-assessment
- computer-vision
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
Explore, edit, and develop on a remote machine via SSHFS with Neovim
An SQL generator for Common Lisp.
- common-lisp
- sql
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
- feature-selection
- data-science
- python
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
- reinforcement-learning
- deep-learning
- pytorch
- pytorch-reinforcement-learning
ilastik-shell, applets, and workflows to string them together.
- ilastik
- machine-learning
- python
- qt
Support for jupyter notebook templates in jupyterlab
A dataset of millions of news articles scraped from a curated list of data sources.
All your machines, one app. For you and your AI agents: agent sessions, desktops, files, logs and GitHub across your Macs, Linux and Windows machines, with an MCP server.
A finite state machine lua micro framework
🎆 A visualization of the CapsNet layers to better understand how it works
- capsule-network
- tensorflow
- python
- hinton
A Naive Bayes machine learning implementation in Elixir.
- naive-bayes-classifier
- bayes
- machine-learning
- classifier
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API