Pre-Rendered Regularization Images fou use with fine-tuning, especially for the current implementation of "Dreambooth"
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Dec 26, 2022
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Pre-Rendered Regularization Images fou use with fine-tuning, especially for the current implementation of "Dreambooth"
Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.
A Julia package to perform Tikhonov regularization for small to moderate size problems.
PyInvGeo: Regularized Inversion Techniques
seismic deconvolution geophysical-inversions iterative-algorithms regularization-methods regularization-hyperparameters linear-inversion multiple-suppression
Python source code for EMNLP 2020 Findings paper: "Domain Adversarial Fine-Tuning as an Effective Regularizer".
All my Machine Learning Projects from A to Z in (Python & R)
python r naive-bayes regression classification logistic-regression polynomial-regression decision-tree-regression kernel-svm simple-linear-regression random-forest-regression multiple-linear-regression datapreprocessing support-vector-regression--svr evaluating-regression-models-perf regularization-methods k-nearest-neighbors-k-nn support-vector-machine-svm decision-tree-classification random-forest-classification
Here, we implement regularized linear regression to predict the amount of water flowing out of a dam using the change of water level in a reservoir. In the next half, we go through some diagnostics of debugging learning algorithms and examine the effects of bias v.s. variance.
random linear-regression cross-validation gradient polynomial-regression learning-curve regularized-linear-regression bias-variance cost-function regularization-methods
fdaPDE: Physics-Informed Spatial and Functional Data Analysis
statistics functional-data-analysis pde spatial-statistics regularization-methods spatio-temporal-statistics
A vast assortment of class regularization images in sets of 1500
Notebooks developed in Mathematica for my Ph.D. thesis and other resources
thesis mathematica regularization particle-physics theoretical-physics renormalization thesis-project renormalization-group regularization-methods divergences implicit-regularization
Implementation of all basic algorithms needed in Deep Learning
deep-neural-networks deep-learning cnn neural-networks deep-learning-algorithms optimization-methods residual-networks optimization-algorithms binary-classification cnn-model basic-algorithm logistic-regression-algorithm initialization cnn-classification gradient-check cat-notcat-classification logistic-regression-using-nn regularization-methods
System developed by team datamafia in WNUT 2020 Task 2: Identification of informative COVID-19 English Tweets
transformers language-model binary-classification roberta regularization-methods tweet-classification huggingface-transformers
Regularized Levenberg-Marquardt algorithm for nonlinear regression on small size datasets
python python3 levenberg-marquardt regularization bayesian-inference prior-distribution nonlinear-regression nonlinear-models regularized-regression regularization-methods regularization-parameters
Code and Data sets for the EMNLP-2021-Findings Paper "ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection"
mutual-information regularization-methods out-of-domain-detection zero-shot-classification few-shot-text-classification
All about machine learning
documentation machine-learning tutorial numpy linear-regression scikit-learn regression logistic-regression matplotlib gradient-descent ridge-regression polynomial-regression explanation learning-rate stochastic-gradient-descent lasso-regression batch-gradient-descent mini-batch-gradient-descent learning-curves regularization-methods
Sparse Gaussian graphical models with Sorted L-One Penalized Estimation
In this repository you can find the all the ML algorithm's notebook and notes.
random-forest linear-regression ensemble-learning logistic-regression gradient-descent adaboost support-vector-machines expectation-maximization-algorithm naive-bayes-algorithm principal-component-analysis dbscan kmeans-clustering knearest-neighbor-algorithm agglomerative-clustering regularization-methods descision-tree fuzzycmeans
Supplementary code for the paper "Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks" - an accepted paper of LOD2019
deep-neural-networks deep-learning pytorch deep-learning-algorithms regularization generalization overfitting wmm regularization-methods pytorch-implementation weight-reinitialization weight-shuffling weight-matrix
Using encoder-decoder neural networks to learn representations of personal walking style, and generating person-specific gait for desired activities.
deep-learning style-transfer representation-learning autoencoders person-recognition regularization-methods gait-recognition
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