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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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
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 Network…
deep-learning neural-network coursera recurrent-neural-networks neural-networks hyperparameter-optimization regularization convolutional-neural-networks neural-machine-translation coursera-machine-learning convolutional-neural-network hyperparameter-tuning andrew-ng coursera-assignment cnns rnns andrew-ng-course recurrent-neural-network neural-style-transfer coursera-specialization
Early stopping for PyTorch
Official Pytorch implementation of CutMix regularizer
Training neural models with structured signals.
tensorflow keras neural-networks regularization adversarial-learning graph-learning structured-signals
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
machine-learning computer-vision pytorch dropout regularization convolutional-neural-networks pytorch-implementation dropblock
Image-processing software for cryo-electron microscopy
gui hpc molecular-structures cuda image-processing nvidia high-performance-computing graphics-programming ctf regularization cryo-em microscopy likelihood maximum-likelihood optimization-algorithms relion molecular-biology atomistic-models biomolecular-dynamics microscope
Code for reproducing Manifold Mixup results (ICML 2019)
deep-neural-networks deep-learning pytorch supervised-learning regularization data-augumentation supervised-machine-learning icml2019
Simple Implementation of many GAN models with PyTorch.
pytorch gan mnist infogan dcgan regularization celeba wgan began wgan-gp infogan-pytorch conditional-gan pytorch-gan gan-implementations vanilla-gan gan-pytorch gan-tutorial stanford-cars cars-dataset began-pytorch
[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models
deep-learning regularization reconstruction nerf diffusion diffusion-models neuralradiance-fields radiance-field
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
deep-learning neural-network optimization coursera batch-normalization regularization convolutional-networks
机器学习-Coursera-吴恩达- python+Matlab代码实现
This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.
reinforcement-learning tensorflow linear-regression xgboost artificial-neural-networks logistic-regression recommender-system regularization gradient-descent tree-ensemble kmeans-clustering anomaly-detection supervised-machine-learning unsupervised-machine-learning multiple-linear-regression
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
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
machine-learning neural-network clustering svm linear-regression pca classification recommender-system regularization gradient-descent k-means anomalydetection principal-component-analysis learning-curve
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
Generalized Linear Models
python machine-learning statistics statistical-learning regression regularization parametric statistical-models
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"
Efficient Algorithms for L0 Regularized Learning
machine-learning compressed-sensing feature-selection regularization sparse-regression sparse-modeling l0learn l0-regularization
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