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University of Pennsylvania
- Philadelphia, PA
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03:19
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Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
A modern Wine wrapper for macOS built with SwiftUI
GO Simple Tunnel - a simple tunnel written in golang
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
A modular graph-based Retrieval-Augmented Generation (RAG) system
👋 Hey there new grad🎉! We've put together a collection of full-time job openings for SWE, Quant, PM and tech roles in 2024! 🚀
A high-throughput and memory-efficient inference and serving engine for LLMs
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. Tensor…
Fast and memory-efficient exact attention
Running large language models on a single GPU for throughput-oriented scenarios.
Source code to pbrt, the ray tracer described in the forthcoming 4th edition of the "Physically Based Rendering: From Theory to Implementation" book.
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
Incredibly fast JavaScript runtime, bundler, test runner, and package manager – all in one
A community-maintained Python framework for creating mathematical animations.
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
A natural language interface for computers
Python sync/async framework for Interactive Brokers API
📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, in…
Deploy headless browsers in Docker. Run on our cloud or bring your own. Free for non-commercial uses.
✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows
🐻 Bear necessities for state management in React
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Source code for the X Recommendation Algorithm