Trending repositories for topic optimization
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)
Mesh optimization library that makes meshes smaller and faster to render
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...
Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
:zap: The most powerful open source tweaker on GitHub for fine-tuning Windows 10 & Windows 11
A Python implementation of global optimization with gaussian processes.
Reinforcement Learning with Model Predictive Control
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
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...
adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.
Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
S + Autograd + XLA :: S-parameter based frequency domain circuit simulations and optimizations using JAX.
Batlez Tweaks is a batch tweaking script that optimizes your system to provide the best gaming experience possible. It is free and open-source, and works on Windows 10 & 11!
NeuralFoil is a practical airfoil aerodynamics analysis tool using physics-informed machine learning, in pure Python/NumPy.
Reinforcement Learning with Model Predictive Control
A Community Guide to getting all your Accessories, Games, Emulators, and Gaming Tips for your Lenovo legion Go Gaming Handheld.
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)
Mesh optimization library that makes meshes smaller and faster to render
Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
A Python-embedded modeling language for convex optimization problems.
A Python implementation of global optimization with gaussian processes.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
:zap: The most powerful open source tweaker on GitHub for fine-tuning Windows 10 & Windows 11
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...
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
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
adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.
Rigid transform using Lie groups and Dual Quaternions, written in CasADi!
NeuralFoil is a practical airfoil aerodynamics analysis tool using physics-informed machine learning, in pure Python/NumPy.
S + Autograd + XLA :: S-parameter based frequency domain circuit simulations and optimizations using JAX.
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...
Reinforcement Learning with Model Predictive Control
A tour of different optimization algorithms in PyTorch.
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...
Optimize React performance and make your React 70% faster in minutes, not months.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A Python-embedded modeling language for convex optimization problems.
Mesh optimization library that makes meshes smaller and faster to render
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...
A Python implementation of global optimization with gaussian processes.
:zap: The most powerful open source tweaker on GitHub for fine-tuning Windows 10 & Windows 11
Deobfuscation via optimization with usage of LLVM IR and parsing assembly.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
GeoCalib: Learning Single-image Calibration with Geometric Optimization (ECCV 2024)
Firefox fork with compiler optimizations and patches from Librewolf, Waterfox, and GNU IceCat.
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
A powerful tool designed for Golang developers to enhance code readability by performing multi-level field alignment in struct declarations while preserving original metadata.
A powerfull websites compiler/obfuscator for optimization or intellectual property protection purposes.
NeuralFoil is a practical airfoil aerodynamics analysis tool using physics-informed machine learning, in pure Python/NumPy.
Differentiable solver for time-dependent deformation problems with contact
Deobfuscation via optimization with usage of LLVM IR and parsing assembly.
OptiPie is an open source strategy optimizer automation tool for TradingView written in js.
Reinforcement Learning with Model Predictive Control
Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models
Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"
GeoCalib: Learning Single-image Calibration with Geometric Optimization (ECCV 2024)
Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
[NeurIPS 2024] BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models
A model predictive controller for quadruped robots based on the single rigid body model and written in python. Gradient-based (acados) or Sampling-based (jax).
Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusion-based trajectory optimization framework that employs a dynam...
Sparo optimizes performance of Git operations for your large frontend monorepo.
Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).
3DGS-LM accelerates Gaussian-Splatting optimization by replacing the ADAM optimizer with Levenberg-Marquardt.
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)
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.
Mesh optimization library that makes meshes smaller and faster to render
:zap: The most powerful open source tweaker on GitHub for fine-tuning Windows 10 & Windows 11
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A Python implementation of global optimization with gaussian processes.
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sales...
A Python-embedded modeling language for convex optimization problems.
Firefox fork with compiler optimizations and patches from Librewolf, Waterfox, and GNU IceCat.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
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
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
HoneCTRL is a free and open source desktop utility that aims to improve FPS, reduce input lag, and optimize network performance for video game titles and day-to-day productivity.
Elevate your 🐍 code with optimal data structure recommendations from pyggester.
GeoCalib: Learning Single-image Calibration with Geometric Optimization (ECCV 2024)
Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence
A collaborative effort to consolidate expert knowledge on code guidelines for the correctness, modernization, and optimization of code written in C, C++, and Fortran programming languages
A Community Guide to getting all your Accessories, Games, Emulators, and Gaming Tips for your Lenovo legion Go Gaming Handheld.
Generalized Splines for Motion Optimization in C++ and python3
Reinforcement Learning with Model Predictive Control
🎮 This guide contains descriptions of settings and utilities for safely improving the performance, and useful information for advanced Steam Deck users. All settings supported LCD and OLED versions.