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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?
Full-Stack TypeScript toolkit that enhances Prisma ORM with flexible Authorization layer for RBAC/ABAC/PBAC/ReBAC, offering auto-generated type-safe APIs and frontend hooks.
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
Task 1: Perceptron Model for Binary Classes Classification, Task 2: Perceptron Model for 3-Classes Classification, Task 3: 3-Layer Neural Network like XOR Gate
Multi layer perceptron model written in Python. Demonstrates two types of xor logic gates.
Learning XOR problem with 1 hidden layer and two perceptron with sigmoid activation function.
This is a hard coding version of Sigmoid Multilayer Perceptron with 2 input *2 hideen *1 output that can slove XOR problem. It is just for "Hello World" for the A.I beginners.
Creating Logic Functions [AND, OR, NOT, XNOR, XOR, NAND, etc] using Neural Network
A Neural Network implemented from scratch (using only numpy) in Python.
Minimalistic implementation of a simple feedforward Neural Network