[NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.
-
Updated
Dec 29, 2021 - Python
#
normalization-techniques
Here are 9 public repositories matching this topic...
Official implementation for "Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images" https://arxiv.org/abs/2112.08810
machine-learning deep-learning batch-normalization imbalanced-data gaussian-noise normalization-techniques augmentations low-data-regime oversampling-technique
-
Updated
Jun 11, 2022
Implementation of some famous data mining algorithms in C++11 boost
data-mining-algorithms algorithms-implemented regression-analysis correlation-analysis mining-algorithm dataminning five-number-summary normalization-techniques regression-equation bining-data-mining data-mining-lab data-mining-sauravgore
-
Updated
Nov 6, 2018 - C++
Continuous Norming with R
biometrics percentile taylor-series psychometrics growth-curve normalization-techniques norm-scores continuous-norming regression-based-norming norm-tables beta-binomial
-
Updated
Nov 29, 2024 - R
Learning about the algorithms used in machine learning, along with techniques for training and testing models.
python nlp html learning data-science gradient-descent backpropagation-learning-algorithm ia feature-engineering regression-models loss-functions metrics-visualization normalization-techniques optimizer-algorithms neuronal-networks preprocessing-data
-
Updated
Jul 2, 2024 - Jupyter Notebook
Evaluating the Robustness of Biomedical Concept Normalization
-
Updated
Dec 31, 2022 - Python
Analyze the customer data, build a neural network to help the operations team identify the customers that are more likely to churn, and provide recommendations on how to retain such customers
tensorflow nn eda batch-normalization keras-classification-models adam-optimizer model-training numpy-library pandas-library model-tuning sgd-optimizer regularization-methods normalization-techniques model-optimization matplotlib-library regularization-dropout seaborn-library
-
Updated
Feb 21, 2025 - Jupyter Notebook
This project analyzes e-commerce order fulfillment using Advanced SQL Techniques and Python-based visualization to uncover insights on sales trends, customer segmentation, shipping cost optimization, and payment preferences.
data-visualization indexing partitioning database-design business-analytics customer-segmentation normalization-techniques common-table-expressions window-functions-in-sql
-
Updated
Feb 15, 2025 - HTML
The projects are part of the graduate-level course CSE-560 : Data Models and Query Language [Fall 2019 @ UB_SUNY] ... Course Instructor : Jan Chomicki (https://cse.buffalo.edu/~chomicki/)
mysql sql-query xquery xml-schema database-schema er-model query-language relational-algebra relational-model er-diagram database-design ddl-commands advanced-sql normalization-techniques range-encode dtd-transformation dml-commands sql2 sql3 sql-recursion
-
Updated
Jan 31, 2020
Improve this page
Add a description, image, and links to the normalization-techniques topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the normalization-techniques topic, visit your repo's landing page and select "manage topics."