Artificial Neural Network
- neural-network
- deep-learning
- classification
- regression
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Artificial Neural Network
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
A Euclidean diffusion model for structure-based drug design.
Vision-Language Pathology Foundation Model - Nature Medicine
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.
Python package for Bayesian Machine Learning with scikit-learn API
A tool for semi-automatic cell type classification
A framework for continual learning and recursive self-improvement through harness adapter evolution.
Learn Robotics with JdeRobot
GitHub repository for official ILIAS release branches and development branches (trunk)
Learn a codebase by re-deriving its design decisions yourself. A Claude Code skill.
A curated compilation of AI-driven generative music resources and projects. Explore the blend of machine learning algorithms and musical creativity.
AI Vim/Neovim code generation plugin (OpenAI, ChatGPT, and more)
Today I Learned
Ruby library for interfacing with FANN (Fast Artificial Neural Network)
A GPU implementation of Convolutional Neural Nets in C++
Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.
A ground-up and standalone reimplementation of TensorFlow for ruby. Comes with a pure ruby and OpenCL opcode evaluator
:rainbow: discover the beautiful programming language that makes front-end web apps a joy to build and maintain!
Fashion Detection in the Wild (Deep Clothes Detector)
Collection of high quality iOS tutorial sites
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.