Statistics for topic optimization

Go Optimization Guide: Patterns and Techniques for Writing High-Performance Applications with Go

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Thoughts on Go performance optimization

Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple age...

Modern C++ Programming Course (C++03/11/14/17/20/23/26)

Go Optimization Guide: Patterns and Techniques for Writing High-Performance Applications with Go

Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple age...

pumpfun copy trading bot, grpc streaming subscribe bonding curve

Comprehensive optical design, optimization, and analysis in Python.

[RA-Letter 2023] "RDA: An Accelerated Collision Free Motion Planner for Autonomous Navigation in Cluttered Environments"

Go Optimization Guide: Patterns and Techniques for Writing High-Performance Applications with Go

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Thoughts on Go performance optimization

Google's Operations Research tools:

Modern C++ Programming Course (C++03/11/14/17/20/23/26)

Go Optimization Guide: Patterns and Techniques for Writing High-Performance Applications with Go

pumpfun copy trading bot, grpc streaming subscribe bonding curve

Implementation of data mining methods that use evolutionary algorithms

Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple age...

Embed trained machine learning predictors in JuMP

Go Optimization Guide: Patterns and Techniques for Writing High-Performance Applications with Go

An innovative data structure for implementing lists and deques

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Go Optimization Guide: Patterns and Techniques for Writing High-Performance Applications with Go

Modern C++ Programming Course (C++03/11/14/17/20/23/26)

Mesh optimization library that makes meshes smaller and faster to render

A collection of NVIDIA cuOpt samples and other resources

Go Optimization Guide: Patterns and Techniques for Writing High-Performance Applications with Go

pumpfun copy trading bot, grpc streaming subscribe bonding curve

[AAAI 2025] ORQA is a new QA benchmark designed to assess the reasoning capabilities of LLMs in a specialized technical domain of Operations Research. The benchmark evaluates whether LLMs can emulate ...

The Morpho language 🦋. Morpho is a small embeddable language for scientific computing applications.

A collection of NVIDIA cuOpt samples and other resources

Optimizing inference proxy for LLMs

opensecurity: open-source security and compliance. See and secure your cloud, containers, code, networks, deployments, devices. Define your rules, get precise checks, fix gaps fast. Streamlined audits...

Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"

GeoCalib: Learning Single-image Calibration with Geometric Optimization (ECCV 2024)

End-to-end Generative Optimization for AI Agents

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

Modern C++ Programming Course (C++03/11/14/17/20/23/26)

Optimizing inference proxy for LLMs

Optimize React performance and make your React 70% faster in minutes, not months.

Leetcode solutions

All-in-one Java-based Windows repair and maintenance toolkit.

Pathfinding visualization

Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024

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)