spatial resampling for more robust cross validation in spatial studies
-
Updated
Jul 22, 2024 - Python
spatial resampling for more robust cross validation in spatial studies
PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
Clipped Noise Softmax to overcome over-fitting with Softmax - PyTorch implementation
Dropout: A Simple Way to Prevent Neural Networks from Overfitting
Pytorch DataLoader wrapper to intentionally mess up, corrupt, shuffle, randomize the input/label correspondence.
42AI Bootcamps - Python & Machine Learning
Official Codebase of "A Closer Look at Weakly-Supervised Audio-Visual Source Localization" (NeurIPS 2022)
DisturbValue: a regularization method for regressioin tasks
JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
Elements of AI: Building AI - Advanced is an online course by Reaktor and University of Helsinki worth 2 ECTS.
All exercises for the course Elements of AI - Building AI
[ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chang, Zhangyang Wang
Pytorch implementation of the paper: "BMN: Boundary-Matching Network for Temporal Action Proposal Generation", along with three new modules to address overfitting issues found in the baseline model, and their ablation studies.
[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
Gaussian function basis regression overfitting location prediction
Official implementation of the paper 'Self-Adaptive Training: beyond Empirical Risk Minimization'
Decision Tree classifier from scratch without any machine learning libraries
Simple attempt to create neural network head that would prevent overfitting
Supplementary code for the paper "Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks" - an accepted paper of LOD2019
Add a description, image, and links to the overfitting topic page so that developers can more easily learn about it.
To associate your repository with the overfitting topic, visit your repo's landing page and select "manage topics."