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。
openai/openai-cookbook
Examples and guides for using the OpenAI API
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!🚀
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
rasbt/LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
karanpratapsingh/system-design
Learn how to design systems at scale and prepare for system design interviews
judasn/IntelliJ-IDEA-Tutorial
IntelliJ IDEA 简体中文专题教程
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
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😄
spotify/annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Mooler0410/LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
alirezadir/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
victoresque/pytorch-template
PyTorch deep learning projects made easy.
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.
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
hyunwoongko/transformer
Transformer: PyTorch Implementation of "Attention Is All You Need"
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
adnanaziz/EPIJudge
EPI Judge - Preview Release
jujumilk3/leaked-system-prompts
Collection of leaked system prompts
chaoyanghe/Awesome-Federated-Learning
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
GoogleCloudPlatform/ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
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
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.
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.
tzheng/SystemDesign
This is an interview preparation guide for software engineers. Includes behavior interview, system design and coding(Chinese).
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
aishwaryaprabhat/goku
GenAIOps on Kubernetes: A collection of reference architectures for running GenAI at scale on Kubernetes using OSS tooling
decodingml/articles-code
💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML
PKUFlyingPig/CS224n
all the notes, ppts and homework for CS224n
jorgeutd/useful-snippets-tabular
A collection of useful Python code snippets for Exploratory Data Analysis (EDA), Feature Engineering, and Modeling.