Qian Xie's starred repositories
learn-generative-ai
Learn Cloud Applied Generative AI Engineering (GenEng) using OpenAI, Gemini, Streamlit, Containers, Serverless, Postgres, LangChain, Pinecone, and Next.js
AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
private-gpt
Interact with your documents using the power of GPT, 100% privately, no data leaks
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
LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
pyspark-stubs
Apache (Py)Spark type annotations (stub files).
pyspark-example-project
Implementing best practices for PySpark ETL jobs and applications.
mxnet-the-straight-dope
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
DropoutNet
Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"
RecSys2018
1'st Place Approach by Layer6 AI to the 2018 ACM RecSys Challenge
practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
featuretools
An open source python library for automated feature engineering
apachecn-algo-zh
ApacheCN 数据结构与算法译文集
TensorFlow-Course
:satellite: Simple and ready-to-use tutorials for TensorFlow