A general variable selection approach in the presence of missing data in both covariates and outcomes. This approach exploits the flexibility of machine learning modeling techniques and bootstrap i…

A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

Time series forecasting with PyTorch

[HELP REQUESTED] Generalized Additive Models in Python

Exploratory spatiotemporal data analysis and Geospatial distribution dynamics analysis

Python port of CausalImpact R library

An R package for causal inference in time series

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

Efficiently computes derivatives of NumPy code.

This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and …

A new approach to API documentation in Sphinx.

Significance tests of feature relevance for a black-box learner

Let us control diffusion models!

📚 AIGC 求职面经、必备基础知识、提示词工程、ChatGPT、Stable Diffusion、Prompt、Embedding、Fintune 等 AIGC 求职你所需要知道的一切~

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

A latent text-to-image diffusion model

High-Resolution Image Synthesis with Latent Diffusion Models

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

LaTeX thesis template for Fudan University

Recommender System Using Parallel Matrix Factorization

Tensors and Dynamic neural networks in Python with strong GPU acceleration

59个编写高质量Python代码的中文翻译版。

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

PyTorch deep learning projects made easy.

Code for Transformer Hawkes Process, ICML 2020.