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[ICML 2021] Deep Learning for Functional Data Analysis with Adaptive Basis Layers
Deep Residual Learning for Image Recognition
A repository for functional data
Cluster Analysis of Multi-Dimensional Functional Data
Reimplementation of Graph Embedding methods by Pytorch.
[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
A playbook for systematically maximizing the performance of deep learning models.
The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks
Not enough samples(target variable)? A. [pdf approach]: Bootstrapping w/o predictors or B. [data func approach]: Regression with predictors ? When dealing with a categorical target variable followi…
Statistical Analysis: Project with A/B testing and Machine Learning methodologies
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Statistical Inference Course Homeworks and Project - University of Tehran
Semi-Supervised End-to-End Contrastive Learning for Time Series Classification
Methods and Implements of Deep Clustering
Summary of courses taken during undergraduate studies at ShanghaiTech University, master's studies at Tsinghua University
An open-source overseas graduate application information-sharing platform for ShanghaiTech University