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Top 26 regularization open source projects

Distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
Deeplearning
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
traj-pred-irl
Official implementation codes of "Regularizing neural networks for future trajectory prediction via IRL framework"
Regularization-Pruning
[ICLR'21] PyTorch code for our paper "Neural Pruning via Growing Regularization"
consistency
Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
Deep-Learning-Specialization-Coursera
Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.
manifold mixup
Tensorflow implementation of the Manifold Mixup machine learning research paper
pyowl
Ordered Weighted L1 regularization for classification and regression in Python
Statistical-Learning-using-R
This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
hyperstar
Hyperstar: Negative Sampling Improves Hypernymy Extraction Based on Projection Learning.
PenaltyFunctions.jl
Julia package of regularization functions for machine learning
SSE-PT
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"
1-26 of 26 regularization projects