Unofficial Pytorch implementation of SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pretraining https://arxiv.org/abs/2106.01342

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"

Efficient and extensible GNNs enhanced recommender library based on RecBole.

A unified, comprehensive and efficient recommendation library

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

【LLMs cửu tằng yêu tháp 】 phân hưởng LLMs tại tự nhiên ngữ ngôn xử lý ( ChatGLM, Chinese-LLaMA-Alpaca, tiểu dương đà Vicuna, LLaMA, GPT4ALL đẳng ), tín tức kiểm tác ( langchain ), ngữ ngôn hợp thành, ngữ ngôn thức biệt, đa mô thái đẳng lĩnh vực ( Stable Diffusion, MiniGPT-4, VisualGLM-6B, Ziya-Visual đẳng ) đẳng thật chiến dữ kinh nghiệm.

Phương đường toàn sạn lộ tuyến đồ 2023, vi “Tòng loa ti đinh đáo nhất nhân xí nghiệp” bổ toàn kỹ năng sạn

This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.

Yong Lin's Homepage

PyTorch implementation of bayesian neural network [torchbnn]

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

A curated list of trustworthy deep learning papers. Daily updating...

Nhất phân trung văn tổng thuật văn chương liệt biểu ( tự nhiên ngữ ngôn xử lý & cơ khí học tập )

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

High-quality implementations of standard and SOTA methods on a variety of tasks.

The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple treatment/intervention options exist. The package is still under…

Gaussian processes framework in python

Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects

Towards Resolving Propensity Contradiction in Offline Recommender Learning

Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)

An Open-Source Framework for Prompt-Learning.

Replicating invariant causal representation learning.

This repository collects debiasing methods for recommendation

This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)

Papers about explainability of GNNs

An R package for causal inference in time series

(WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"

Kinh tế học tương quan chuyên nghiệp tư liêu tập

A data augmentations library for audio, image, text, and video.