Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

Jito JSON-RPC Typescript SDK

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Classical equations and diagrams in machine learning

LLM101n: Let's build a Storyteller

Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152, I…

We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts…

API spec validator and OpenAPI document generator for Python web frameworks.

A high-performance serving framework for ML models, offers dynamic batching and multi-stage pipeline to fully exploit your compute machine

《Designing Data-Intensive Application》DDIA中文翻译

汇总各大互联网公司容易考察的高频leetcode题🔥

LeetCode 刷题攻略：配思维导图，各个类型的经典题目刷题顺序、经典算法模板，以及详细图解和视频题解。这里精选的题目都不是孤立的，而是由浅入深一脉相承的，相信只要按照刷题攻略上的顺序来学习，一定会有所收获！给个star支持一下吧！

This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The proble…

Open source platform for the machine learning lifecycle

MatMul Performance Benchmarks for a Single CPU Core comparing both hand engineered and codegen kernels.

Apache Flink

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs,…

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

《Effective Modern C++》翻译 - 已完成

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

Tensorflow implementation(unofficial) of "Digging into Self-Supervised Monocular Depth Prediction"

Code release for "Towards Better Generalization: Joint Depth-Pose Learning without PoseNet".

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

专门为刚开始刷题的同学准备的算法基地，没有最细只有更细，立志用动画将晦涩难懂的算法说的通俗易懂！

Machine Learning Toolkit for Kubernetes

PyTorch elastic training

🌟 Wiki of OI / ICPC for everyone. （某大型游戏线上攻略，内含炫酷算术魔法）