nccheng

nccheng's Stars

• macrozheng/mall

  mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于Spring Boot+MyBatis实现，采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。

  Language:Java79.5k2.2k49729.1k

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX62.3k91352510.1k

• youngyangyang04/leetcode-master

  《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

  Language:Shell54.7k38225411.9k

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook48.1k472765.1k

• rasbt/LLMs-from-scratch

  Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook42k4231235.7k

• karanpratapsingh/system-design

  Learn how to design systems at scale and prepare for system design interviews

  34.9k310214k

• judasn/IntelliJ-IDEA-Tutorial

  IntelliJ IDEA 简体中文专题教程

  22k1.8k07.3k

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python21.6k266722.8k

• itwanger/toBeBetterJavaer

  一份通俗易懂、风趣幽默的Java学习指南，内容涵盖Java基础、Java并发编程、Java虚拟机、Java企业级开发、Java面试等核心知识点。学Java，就认准二哥的Java进阶之路😄

  13.9k136832k

• spotify/annoy

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

  Language:C++13.6k3164031.2k

• Mooler0410/LLMsPracticalGuide

  A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

  9.8k18717761

• alirezadir/Machine-Learning-Interviews

  This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

  Language:Jupyter Notebook5.7k8151k

• victoresque/pytorch-template

  PyTorch deep learning projects made easy.

  Language:Python4.9k55641.1k

• FedML-AI/FedML

  FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

  Language:Python3.8k93327745

• decodingml/llm-twin-course

  🤖 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

  Language:Python3.7k7321619

• hyunwoongko/transformer

  Transformer: PyTorch Implementation of "Attention Is All You Need"

  Language:Python3.5k922497

• iusztinpaul/hands-on-llms

  🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

  Language:Jupyter Notebook3.2k4821524

• adnanaziz/EPIJudge

  EPI Judge - Preview Release

  Language:C++2.9k1701311.9k

• jujumilk3/leaked-system-prompts

  Collection of leaked system prompts

  Language:JavaScript1.9k4636241

• chaoyanghe/Awesome-Federated-Learning

  FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

  1.9k904331

• GoogleCloudPlatform/ml-design-patterns

  Source code accompanying O'Reilly book: Machine Learning Design Patterns

  Language:Jupyter Notebook1.9k4928543

• iusztinpaul/energy-forecasting

  🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

  Language:Python9031423207

• deep-diver/llamaduo

  This project showcases an LLMOps pipeline that fine-tunes a small-size LLM model to prepare for the outage of the service LLM.

  Language:Jupyter Notebook30210829

• drshahizan/Python_EDA

  This topic explains about the implementation of exploratory data analysis (EDA). A total of 21 EDA case studies have been implemented using the Malaysian dataset.

  Language:Jupyter Notebook1797090

• tzheng/SystemDesign

  This is an interview preparation guide for software engineers. Includes behavior interview, system design and coding(Chinese).

  Language:Java1636146

• dogukannulu/kafka_spark_structured_streaming

  Get data from API, run a scheduled script with Airflow, send data to Kafka and consume with Spark, then write to Cassandra

  Language:Python1361559

• aishwaryaprabhat/goku

  GenAIOps on Kubernetes: A collection of reference architectures for running GenAI at scale on Kubernetes using OSS tooling

  Language:Jupyter Notebook1304715

• decodingml/articles-code

  💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML

  Language:Jupyter Notebook1275019

• PKUFlyingPig/CS224n

  all the notes, ppts and homework for CS224n

  Language:JavaScript872022

• jorgeutd/useful-snippets-tabular

  A collection of useful Python code snippets for Exploratory Data Analysis (EDA), Feature Engineering, and Modeling.

  Language:Python1200