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This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are o…
Breakthrough Method for Agile Ai Driven Development
Spec-driven development (SDD) for AI coding assistants.
SGLang is a high-performance serving framework for large language models and multimodal models.
A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.
💫 Toolkit to help you get started with Spec-Driven Development
Complete specifications for AI-assisted development: Spec as Code, Testing as Code, Documentation as Code, and Context Engineering as Code
A lightweight and high-performance reverse proxy for NAT traversal, written in Rust. An alternative to frp and ngrok.
SSLSocketChannel and SSLServerSocketChannel Implementations
A Java library that implements a ByteChannel interface over SSLEngine, enabling easy-to-use (socket-like) TLS for Java applications.
A simple Java SSL/TSL socket client and server demo.
You like pytorch? You like micrograd? You love tinygrad! ❤️
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
A lightweight layer for working with JSON:API data.
A highly-modular (typescript-friendly)-framework agnostic library for serializing data to the JSON:API specification
🦊 A simple, lightweight & framework agnostic JSON:API client
JavaScript client-side JSON API data handling made easy.
Collect OpenAPI Specs within a Kubernetes Cluster
Automated database platform for PostgreSQL® - Your own DBaaS.
A simple and flexible admin template based on Vue3, Vite, TypeScript, NaiveUI
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Modern Data Layer for TypeScript Apps - type-safe ORM, built-in access control, automatic query services
A comprehensive 0-to-1 guide for building self-improving LLM applications with DSPy framework
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Python implementation of a single-layer perceptron for binary classification using a step activation function. Simulates basic (AND, OR, NOT) and complex (NAND, NOR, XOR, XNOR) logic gates with val…
Multi Layer Perceptrons solving XOR logic by using the backpropagation