Stars
Julia package for simulation-based, likelihood-free parameter inference using neural networks.
Pure-JAX linear and hyperplane decision trees for piecewise-linear surrogate modeling
SpecTrax is a JAX-native library for neural networks and graph learning, built for performance, composability and modularity.
JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training
KempnerPulse - real-time GPU monitoring dashboard for DCGM metrics.
A Python wrapper for Apple Accelerate's sparse LDLT solver
Local-first, multi-stage agentic audio-processing framework for turning interview recordings into reviewable source material through a CLI
Direct solver for sparse SPD matrices for nonlinear optimization. Implements supernodal Cholesky decomposition algorithm, and supports GPU (CUDA).
A high performance solver for Mathematical Programs with Complementarity Constraints (MPCCs).
Collection of sparse linear algebra kernels in C++
Content for demos and hands-on in the tutorial "Performance Engineering for Linear Solvers"
PyPARC - A Python Package for Piecewise Affine Regression and Classification
cuTile Rust provides a safe, tile-based kernel programming DSL for the Rust programming language. It features a safe host-side API for passing tensors to asynchronously executed kernel functions.
A discrete optimization package with interior point and exterior swagger
Differentiable power system analysis in Julia. Sensitivity of power flow, OPF, and LMPs to network parameters.
A memory-safe interior point optimizer for nonlinear programming, written in Rust
Fast Synchronization-Free Algorithms for Parallel Sparse Triangular Solves with Multiple Right-Hand Sides (SpTRSM)