Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
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Jun 23, 2020 - Python
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regularization
Here are 180 public repositories matching this topic...
Official Pytorch implementation of CutMix regularizer
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Sep 16, 2020 - Python
Training neural models with structured signals.
tensorflow keras neural-networks regularization adversarial-learning graph-learning structured-signals
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Jan 29, 2025 - Python
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
machine-learning computer-vision pytorch dropout regularization convolutional-neural-networks pytorch-implementation dropblock
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Jul 29, 2020 - Python
Code for reproducing Manifold Mixup results (ICML 2019)
deep-neural-networks deep-learning pytorch supervised-learning regularization data-augumentation supervised-machine-learning icml2019
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Mar 31, 2024 - Python
[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models
deep-learning regularization reconstruction nerf diffusion diffusion-models neuralradiance-fields radiance-field
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Nov 23, 2023 - Python
Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
benchmark computer-vision deep-learning pytorch regularization data-augmentation robustness point-cloud-processing ml-safety corruption-robustness
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Aug 26, 2023 - Python
a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
deep-learning regularization convolutional-neural-networks naver data-augmentation iccv iccv2019 state-of-the-ar
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Nov 17, 2022 - Python
Generalized Linear Models in Sklearn Style
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Apr 22, 2020 - Python
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"
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Nov 17, 2020 - Python
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
deep-learning tabular-data hyperparameter-optimization feedforward-neural-network regularization hpo automl state-of-the-art neurips-2021
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Feb 28, 2023 - Python
[ICLR'21] Neural Pruning via Growing Regularization (PyTorch)
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Jul 15, 2021 - Python
The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021
deep-learning pytorch classification regularization robustness fine-grained-classification adversarial-attacks noisy-labels tip2021
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Jul 6, 2022 - Python
[NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.
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Feb 3, 2024 - Python
TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software
artifacts regularization tomography reconstruction admm inverse-problems x-ray fista cupy multigpu model-based regularisation astra-toolbox tomographic-reconstruction
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May 8, 2025 - Python
Ordered Weighted L1 regularization for classification and regression in Python
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Aug 27, 2018 - Python
ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse
toolbox regularization knowledge-distillation pre-trained-model model-reuse parameter-efficient-tuning model-merging
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Sep 2, 2023 - Python
Code associated with the paper "Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists"
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May 31, 2022 - Python
Implementation of key concepts of neuralnetwork via numpy
neural-network numpy cnn dropout mnist sgd regularization deeplearning xavier-initializer relu cross-entropy-loss numpy-neuralnet-exercise
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Feb 6, 2018 - Python
This project hosts the code and datasets I used for Deep Learning course at Boston University. It aims to post-process the images the low quality images produced as a result of solving inverse problems in imaging (particularly Computed Tomography) and produce high-quality images.
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May 2, 2017 - Python
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