Frank Liu's Projects
:memo: An awesome Data Science repository to learn and apply for real world problems.
A collection of cool demos in the wild.
:sunglasses: A curated list of awesome MLOps tools
Awesome list of open-source startup alternatives to well-known SaaS products 🚀
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Framework for evaluating ANNS algorithms on billion scale datasets.
Caffe: a fast open framework for deep learning.
Code-based solutions to 538's "The Riddler" puzzles.
GPTCache is a library for creating semantic cache to store responses from LLM queries.
✍️ A static blog writing client (一个静态博客写作客户端)
An ImageNet-1k subset, used for examples and other demonstrations.
⚡ Building applications with LLMs through composability ⚡
Automated price checker for the Steam Community Marketplace.
Personal webpage assets.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Radient turns many data types - not just text - into vectors for similarity search.
RoNIN: Robust Neural Inertial Navigation in the Wild
An implementation of Zhang and Sclaroff's Boolean Map Saliency algorithm. http://cs-people.bu.edu/jmzhang/BMS/BMS_iccv13_preprint.pdf.
An implementation of "A Neural Algorithm of Artistic Style" by L. Gatys, A. Ecker, and M. Bethge. http://arxiv.org/abs/1508.06576.
Deep Convolutional Generative Adversarial Networks, with some small improvements.
Open source platform for embedding tasks
Towhee reference docs
Approximate nearest neighbor search in Python.
Datasets, Transforms and Models specific to Computer Vision
A collection of some random scripts I've written to parse the YFCC100M dataset.