Stars
A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
State-of-the-Art Text Embeddings
Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESM…
Behavioral "black-box" testing for recommender systems
Joining the modern data stack with the modern ML stack
A List of Recommender Systems and Resources
Classic papers and resources on recommendation
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
Scalable Graph Neural Networks with Deep Graph Library
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Benchmarks of approximate nearest neighbor libraries in Python
Build and install Intel's librealsense for the NVIDIA Jetson Nano Developer Kit
Example of how use TensorBoard projector plugin to visualize embeddings
End-to-End time series forecast pipeline with Kubeflow and TFX
Extract structured data from PDF invoices
Algorithmic trading with deep learning experiments
Source code for the LabelMe annotation tool.
Interactive computing for complex data processing, modeling and analysis in Python 3
An Open Source Machine Learning Framework for Everyone
smartcrop finds good image crops for arbitrary crop sizes
Criteo/Kaggle Competition of CTR prediction
Expedia Learning to Rank Hotels to Maximize Purchases, Kaggle Competition
Materials for an online-course - "Practical XGBoost in Python"
Module for automatic summarization of text documents and HTML pages.