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A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
A large scale non-linear optimization library
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
A collection of research papers on decision, classification and regression trees with implementations.
Beautiful visualizations of how language differs among document types.
A Unified Framework for Surface Reconstruction
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
A library for differentiable nonlinear optimization
[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals
