Bayesian multi-object tracking
Xiao's CUDA Optimization Guide [NO LONGER ADDING NEW CONTENT]
An Open-source Strong Baseline for SE(3) Planning in Autonomous Drone Racing
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
An intuitive modeling interface for infinite-dimensional optimization problems.
A framework for reproducible, comparable benchmarks
Fast and scalable construction of risk parity portfolios
Comparison of IQA models in Perceptual Optimization
LibAUC: A Deep Learning Library for X-Risk Optimization
Jupyter-friendly Python interface for C++ MINUIT2
Automatic Differentiation Library for Computational and Mathematical Engineering
COSMO: Accelerated ADMM-based solver for convex conic optimisation problems (LP, QP, SOCP, SDP, ExpCP, PowCP). Automatic chordal decomposition of spar...
Efficient modeling interface for mathematical optimization in Python
Julia for optimization simulation and modeling of PowerSystems.
A PowerShell script to automate the debloating process for Windows ISO images.
Python code for bayesian optimization using Gaussian processes
[tutorial]A functional, Data Science focused introduction to Python
AeroJAX: A differentiable, structure-preserving framework for real-time flow simulation, control, and inverse design. Architected for neural operator...
Visualize your React components as you interact with your application.
Python modules for quantum computing applications and experiments using Cirq. Research using Cirq!
A python library to facilitate interaction with Onshape's REST API
This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learni...
High-performance metaheuristics for optimization coded purely in Julia.
Optimize and debloat Windows 10 and Windows 11 deployments according to best practices for maximum performance and privacy. The ultimate script for en...
A fast and memory-optimized string library for C++
3DGS-LM accelerates Gaussian-Splatting optimization by replacing the ADAM optimizer with Levenberg-Marquardt. (ICCV 2025)
Learn about particle swarm optimization (PSO) through Python!
Maze Applied Reinforcement Learning Framework
[NeurIPS 2024] BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models
A powerful bin packing problem solver for any polygons
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
graph-theoretic framework for robust pairwise data association
NASA's aircraft analysis, design, and optimization tool
Clarabel.jl: Interior-point solver for convex conic optimisation problems in Julia.
These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the c...
Official Autoptimize repo on Github
All-in-one Java-based Windows repair and maintenance toolkit.
🏆 A weekly updated ranked list of popular open-source libraries and tools for Power System Analysis.
Reducing memory allocations from 7.5GB to 32KB
Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen
OpenAeroStruct is a lightweight tool that performs aerostructural optimization using OpenMDAO.
python Parameter EStimation TOolbox
R package to model Mixed Integer Linear Programs
A Julia interface to the NLopt nonlinear-optimization library
The ultimate fast alternative to Activator.CreateInstance<T> / new T()
Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latenc...
Collection of structured data snippets in Google preferred JSON-LD format.
Pi extension that optimizes RTK command rewriting and tool output compaction for the coding agent.
Model Predictive Control in JAX
Lightweight C matrix library, Matlab-like CLI calculator, and compact LP/MIP solver. 轻量级 C 矩阵库、脚本计算器与 LP/MIP 求解器。