Popular GitHub Repositories for Regularization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Training neural models with structured signals.

Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

Implicit Geometric Regularization for Learning Shapes

Simple Implementation of many GAN models with PyTorch.

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models

Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020

A tensorflow implementation of Knowledge-aware Graph Neural Networks with Label Smoothness regularization

Stable Diffusion Regularization Images in 512px, 768px and 1024px on 1.5, 2.1 and SDXL 1.0 checkpoints

[CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model

python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"

Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"

Code for ACCV 2020 "Speech2Video Synthesis with 3D Skeleton Regularization and Expressive Body Poses"

[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets

The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021

Spells for everyday living, also a book -- Models Demystified -- coming out in 2025.

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