Compares the performance of SOTA Regressors on non-augmented data vs SOTA Regressors on KNNOR-Reg augmented

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019

Conditional variational autoencoder implementation in Torch

Caffe code to accompany my Tutorial on Variational Autoencoders

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

A comprehensive list of awesome contrastive self-supervised learning papers.

This project is based on 2 cases studies : Gems Price Prediction and Holiday Package prediction. In the first case study, concepts of linear regression are tested and it is expected from the learne…

计量经济学的实例分析包括多元回归分析，多重共线性，对数回归，虚拟变量分段线性回归，多项式拟合以及时间序列。The case analysis of econometrics includes multiple regression analysis, multicollinearity, logarithm regression, piecewise linear regression of…

A curated list of awesome resources dedicated to Scaling Laws for LLMs

Deep and online learning with spiking neural networks in Python

Pure python implementation of SNN

The official repo: "McNet: Fuse Multiple Cues for Multichannel Speech Enhancement", ICASSP 2023

Paper list and resources on machine learning for brain image (e. g. fMRI and sMRI) analysis.

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

Implementation for Stankevičiūtė et al. "Population graph GNNs for brain age prediction". GRL+ Workshop, ICML 2020.