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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九层妖塔】分享 LLMs在自然语言处理（ChatGLM、Chinese-LLaMA-Alpaca、小羊驼 Vicuna、LLaMA、GPT4ALL等）、信息检索（langchain）、语言合成、语言识别、多模态等领域（Stable Diffusion、MiniGPT-4、VisualGLM-6B、Ziya-Visual等）等 实战与经验。
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
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...
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…
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"
A data augmentations library for audio, image, text, and video.