nccheng's Stars
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
decodingml/llm-twin-course
๐ค ๐๐ฒ๐ฎ๐ฟ๐ป for ๐ณ๐ฟ๐ฒ๐ฒ how to ๐ฏ๐๐ถ๐น๐ฑ an end-to-end ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป-๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐๐๐ & ๐ฅ๐๐ ๐๐๐๐๐ฒ๐บ using ๐๐๐ ๐ข๐ฝ๐ best practices: ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 12 ๐ฉ๐ข๐ฏ๐ฅ๐ด-๐ฐ๐ฏ ๐ญ๐ฆ๐ด๐ด๐ฐ๐ฏ๐ด
iusztinpaul/energy-forecasting
๐ ๐ง๐ต๐ฒ ๐๐๐น๐น ๐ฆ๐๐ฎ๐ฐ๐ธ ๐ณ-๐ฆ๐๐ฒ๐ฝ๐ ๐ ๐๐ข๐ฝ๐ ๐๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ | ๐๐ฒ๐ฎ๐ฟ๐ป ๐ ๐๐ & ๐ ๐๐ข๐ฝ๐ for free by designing, building and deploying an end-to-end ML batch system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 2.5 ๐ฉ๐ฐ๐ถ๐ณ๐ด ๐ฐ๐ง ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ & ๐ท๐ช๐ฅ๐ฆ๐ฐ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
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.
aishwaryaprabhat/goku
GenAIOps on Kubernetes: A collection of reference architectures for running GenAI at scale on Kubernetes using OSS tooling
decodingml/articles-code
๐ป Decoding ML articles hub: Hands-on articles with code on production-grade ML
rasbt/LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
itwanger/toBeBetterJavaer
ไธไปฝ้ไฟๆๆใ้ฃ่ถฃๅนฝ้ป็Javaๅญฆไน ๆๅ๏ผๅ ๅฎนๆถต็Javaๅบ็กใJavaๅนถๅ็ผ็จใJava่ๆๆบใJavaไผไธ็บงๅผๅใJava้ข่ฏ็ญๆ ธๅฟ็ฅ่ฏ็นใๅญฆJava๏ผๅฐฑ่ฎคๅไบๅฅ็Java่ฟ้ถไน่ทฏ๐
judasn/IntelliJ-IDEA-Tutorial
IntelliJ IDEA ็ฎไฝไธญๆไธ้ขๆ็จ
victoresque/pytorch-template
PyTorch deep learning projects made easy.
jorgeutd/useful-snippets-tabular
A collection of useful Python code snippets for Exploratory Data Analysis (EDA), Feature Engineering, and Modeling.
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.
hyunwoongko/transformer
Transformer: PyTorch Implementation of "Attention Is All You Need"
karanpratapsingh/system-design
Learn how to design systems at scale and prepare for system design interviews
tzheng/SystemDesign
This is an interview preparation guide for software engineers. Includes behavior interview, system design and coding(Chinese).
iusztinpaul/hands-on-llms
๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + ๐ท๐ช๐ฅ๐ฆ๐ฐ & ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
alirezadir/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
macrozheng/mall
mall้กน็ฎๆฏไธๅฅ็ตๅ็ณป็ป๏ผๅ ๆฌๅๅฐๅๅ็ณป็ปๅๅๅฐ็ฎก็็ณป็ป๏ผๅบไบSpring Boot+MyBatisๅฎ็ฐ๏ผ้็จDockerๅฎนๅจๅ้จ็ฝฒใ ๅๅฐๅๅ็ณป็ปๅ ๅซ้ฆ้กต้จๆทใๅๅๆจ่ใๅๅๆ็ดขใๅๅๅฑ็คบใ่ดญ็ฉ่ฝฆใ่ฎขๅๆต็จใไผๅไธญๅฟใๅฎขๆทๆๅกใๅธฎๅฉไธญๅฟ็ญๆจกๅใ ๅๅฐ็ฎก็็ณป็ปๅ ๅซๅๅ็ฎก็ใ่ฎขๅ็ฎก็ใไผๅ็ฎก็ใไฟ้็ฎก็ใ่ฟ่ฅ็ฎก็ใๅ ๅฎน็ฎก็ใ็ป่ฎกๆฅ่กจใ่ดขๅก็ฎก็ใๆ้็ฎก็ใ่ฎพ็ฝฎ็ญๆจกๅใ
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
youngyangyang04/leetcode-master
ใไปฃ็ ้ๆณๅฝใLeetCode ๅท้ขๆป็ฅ๏ผ200้็ปๅ ธ้ข็ฎๅท้ข้กบๅบ๏ผๅ ฑ60wๅญ็่ฏฆ็ปๅพ่งฃ๏ผ่ง้ข้พ็นๅๆ๏ผ50ไฝๅผ ๆ็ปดๅฏผๅพ๏ผๆฏๆC++๏ผJava๏ผPython๏ผGo๏ผJavaScript็ญๅค่ฏญ่จ็ๆฌ๏ผไปๆญค็ฎๆณๅญฆไน ไธๅ่ฟท่ซ๏ผ๐ฅ๐ฅ ๆฅ็็๏ผไฝ ไผๅ็ฐ็ธ่งๆจๆ๏ผ๐
spotify/annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
adnanaziz/EPIJudge
EPI Judge - Preview Release
jujumilk3/leaked-system-prompts
Collection of leaked system prompts
openai/openai-cookbook
Examples and guides for using the OpenAI API
GoogleCloudPlatform/ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
PKUFlyingPig/CS224n
all the notes, ppts and homework for CS224n
Mooler0410/LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
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.
chaoyanghe/Awesome-Federated-Learning
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai