summer-liu
Follow
Stars
[TMLR 2024] Efficient Large Language Models: A Survey
Run Mixtral-8x7B models in Colab or consumer desktops
Topics in Machine Learning Accelerator Design
Fast and memory-efficient exact attention
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
《Machine Learning Systems: Design and Implementation》- Chinese Version
A latent text-to-image diffusion model
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
Open source code for AlphaFold.
Distributed vector search for AI-native applications
A library for efficient similarity search and clustering of dense vectors.
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
An implementation of a deep learning recommendation model (DLRM)
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Best Practices on Recommendation Systems
PDFs and Codelabs for the Efficient Deep Learning book.
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Representation learning on large graphs using stochastic graph convolutions.
A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
[NeurIPS 2020] Cross-Scale Internal Graph Neural Network for Image Super-Resolution