tsotchke

quantum_geometric_tensor. High performance hybrid classical-quantum computing learning framework written in C

eshkol. High-Performance LISP-like language for Scientific Computing and AI written in C++

simple_mnist. Minimalist MNIST implementation with two hidden layers written in C

spin_based_neural_network. Spin-Based Neural Computation Framework for simulating quantum mechanical systems written in C

quantum_rng. Semi-Classical Quantum Random Number Generator library written in C for cryptographic, simulation and generative AI applications with examples

asteroids. A simple implementation of the classic Asteroids game written in C

PINN. Physics-Informed Neural Network written in C

gpt2-basic. Portable machine intelligence in BASIC: a QEMU-verified DOS/486 transformer and assistant runtime with fixed-point inference, hot-swappable local model packs, sharded recall indexes, and release bundles for legacy and constrained systems.

classical_rng. Classical RNG utility written in C for computing fast and efficient non-deterministic random numbers for games and security applications with examples

moonlab. High performance quantum computing simulator written in C with bindings for Python, Rust, and Typescript

llm-arbitrator. MCP framework for the orchestration of multiple language models to work together intelligently, written in Typescript.

libirrep. High-performance SO(3) / SU(2) / O(3) / SE(3) representation-theory library written in C for equivariant neural networks and exact-diagonalisation spin-system physics with examples

PIMC. Path Integral Monte Carlo Simulation written in Java

homebrew-eshkol. homebrew tap for the most current version of the Eshkol programming language

tensorcore. CUDA-equivalent tensor-core acceleration for Apple Silicon. C-ABI kernel library wrapping simdgroup_matrix (M1+) and mpp::tensor_ops (M5+): GEMM, FlashAttention, Conv2D, Q4_0/Q8_0 quantized inference, GGUF reader, full transformer training kernels. One binary, M1 → M5.