[NeurIPS 2023] A tiny and header-only C++ library aiming to be the fastest linear SVM solver.

Universal solution for geospatial data tailored to data lakehouse systems for the first time in the industry

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

Deep Reinforcement Learning

The full dataset behind paperswithcode.com

This package contains deep learning models and related scripts for RoseTTAFold

Open source code for AlphaFold 2.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

现代统计图形 2020 版

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

OptNet: Differentiable Optimization as a Layer in Neural Networks

R Markdown 指南（一本八字还没一撇的中文书）

Dot-and-Whisker Plots of Regression Results

A python package of Zeroth-Order Optimization (ZOOpt)

MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".

📖 R 语言学习笔记：数据操作、统计图形和数值优化

🌳 Stacked Gradient Boosting Machines

Differentiable convex optimization layers

Automatic extraction of relevant features from time series:

A highly efficient implementation of Gaussian Processes in PyTorch

Distributional Random Forests (Cevid et al., 2020)

Resources for learning about the history of statistics and statisticians. By statisticians, for statisticians.

C++那些事

Generalized Random Forests

Solution for the precisionFDA Brain Cancer Predictive Modeling Challenge using msaenet

Manifold-learning flows (ℳ-flows)

A pathtracer for R. Build and render complex scenes and 3D data visualizations directly from R

An experiment in R to create pins in movement

An R experiment about generative coding with R

🎨 📦 R Client for the COLOURlovers API