🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A

Code and documentation to train Stanford's Alpaca models, and generate the data.

code and data for the time series analysis vids on my YouTube channel

Document clustering using Density Based Spatial Clustering (DBSCAN)

2019年CCF大数据与计算智能大赛乘用车细分市场销量预测冠军解决方案

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, Flink and DataFlow

Codes related to activities on AV including articles, hackathons and discussions.

PRML algorithms implemented in Python

Machine learning resources

Amazing Machine Learning Open Source Tools and Projects for the Past Year (v.2019)

Added repo for PyData LA 2018 tutorial

Introduction to XGBoost with Code Practice