Statistics for topic optimization
RepositoryStats tracks 584,797 Github repositories, of these 885 are tagged with the optimization topic. The most common primary language for repositories using this topic is Python (271). Other languages include: C++ (114), Julia (76), Jupyter Notebook (59), JavaScript (38), MATLAB (30), C (28), C# (26), TypeScript (26), Java (25)
Stargazers over time for topic optimization
Most starred repositories for topic optimization (view more)
Trending repositories for topic optimization (view more)
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Optimize React performance and make your React 70% faster in minutes, not months.
A guide that explains how programs transform from source code to executables. Deep dive into ELF format, linking processes, and binary optimization techniques. Perfect for systems programmers, C devel...
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
A guide that explains how programs transform from source code to executables. Deep dive into ELF format, linking processes, and binary optimization techniques. Perfect for systems programmers, C devel...
Rigid transform using Lie groups and Dual Quaternions, written in CasADi!
A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region a...
S + Autograd + XLA :: S-parameter based frequency domain circuit simulations and optimizations using JAX.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A guide that explains how programs transform from source code to executables. Deep dive into ELF format, linking processes, and binary optimization techniques. Perfect for systems programmers, C devel...
Optimize React performance and make your React 70% faster in minutes, not months.
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
A guide that explains how programs transform from source code to executables. Deep dive into ELF format, linking processes, and binary optimization techniques. Perfect for systems programmers, C devel...
A comprehensive systems programming toolkit implementing low-level concepts in C, from memory management to OS internals. Features practical implementations of computer architecture concepts with a fo...
Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
A guide that explains how programs transform from source code to executables. Deep dive into ELF format, linking processes, and binary optimization techniques. Perfect for systems programmers, C devel...
The TCP Optimizer is a free, easy Windows program that provides an intuitive interface for tuning and optimizing your Internet connection. There is no installation required, just download and run as a...
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
A guide that explains how programs transform from source code to executables. Deep dive into ELF format, linking processes, and binary optimization techniques. Perfect for systems programmers, C devel...
Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
A comprehensive systems programming toolkit implementing low-level concepts in C, from memory management to OS internals. Features practical implementations of computer architecture concepts with a fo...
Generalized Splines for Motion Optimization in C++ and python3
Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"
GeoCalib: Learning Single-image Calibration with Geometric Optimization (ECCV 2024)
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Optimize React performance and make your React 70% faster in minutes, not months.
Efficient modeling interface for mathematical optimization in Python
Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models
Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024