Stars
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Open-source Trading OS with pluggable AI brain | From market data → AI reasoning → Trade execution | Self-hosted & Multi-exchange
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Probabilistic reasoning and statistical analysis in TensorFlow
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
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…
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A framework for large scale recommendation algorithms.
🚀 The fast, Pythonic way to build MCP servers and clients
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
An easy-to-use framework for large scale recommendation algorithms.
Tensorflow implementation of DeepFM for CTR prediction.
OpenML's Python API for a World of Data and More 💫
Feature engineering package with sklearn like functionality
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
REFMAP project task 4.3: Psychoacoustics of unmanned aerial vehicle (UAV) sound
DockQ is a single continuous quality measure for Protein, Nucleic Acids and Small Molecule Docking Models
(ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling
dstack is an open-source control plane for running development, training, and inference jobs on GPUs—across hyperscalers, neoclouds, or on-prem.
AlphaFold 3 inference pipeline.
A Lighting Pytorch Framework for Recommendation Models (PyTorch推荐算法框架), Easy-to-use and Easy-to-extend. https://datawhalechina.github.io/torch-rechub/
Tool to set the thresholds for classification problems and to visualize the implications of potential thresholds.