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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.

  • arithmetic
  • integer-arithmetic
  • fixed-point-arithmetic
  • rational-arithmetic

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

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

Artificial intelligence/machine learning data structures and Swift algorithms for future iOS development. bayes theorem, neural networks, and more AI.

Conway's Game of Life implemented as an artistic, abstract macOS screensaver and tvOS app using SpriteKit

  • conways-game-of-life
  • spritekit
  • gamekit
  • game-of-life

PocketStrike is a privacy-first mobile AI workstation. It combines zero-cloud native on-device GGUF inference (ARM NEON accelerated) │ with frontier cloud LLMs, multi-step ReAct agent tools, Model Context Protocol (MCP) servers, self-evolving cross-session memory, and FLUX neural image │ generation.

Translated🚀 面栈 (MianStack, "interview stack")|The ultimate programmer interview question bank! Java, Python, databases, algorithms, large models, AI Agent, and RAG, all prepared in one stack. Real interview experiences linked to high-frequency exam topics, with targeted preparation by company and position; illustrated solutions, featured special topics, and project source code breakdowns all come standard. The interviewer sets the questions, MianStack makes the moves! Free and open source, continuously updated.