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Search results for jupyter notebook regularization
jupyter-notebook
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regularization
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83 search results found
Distiller
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4,252
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
Mxnet The Straight Dope
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2,507
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
Coursera Deep Learning Specialization
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2,459
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 Networks; (v) Sequence Models
Deep Learning Notes
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1,257
Experiments with Deep Learning
Basic_model_scratch
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609
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
Early Stopping Pytorch
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428
Early stopping for PyTorch
3d Mri Brain Tumor Segmentation Using Autoencoder Regularization
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243
Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
Machine Learning Notebooks
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241
Machine Learning notebooks for refreshing concepts.
Gan Tutorial
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190
Simple Implementation of many GAN models with PyTorch.
Machine Learning
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159
Machine learning library written in readable python code
Machine_learning_2018
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146
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
Machine Learning
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133
python,机器学习笔记,machine learning,nlp
Robuststl
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124
Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)
Robustautoencoder
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110
A combination of Autoencoder and Robust PCA
Deep Learning Specialization Coursera
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92
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
Tutorials
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84
A collection of tutorials for the MOSEK package
Sosnet
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84
Pretrained pytorch model for the SOSNet descriptor [CVPR 2019]
Deep Learning Explained
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68
This repository contains the lab files for Microsoft course DAT236x: Deep Learning Explained
Adamw And Sgdw
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67
keras implementation of AdamW from Fixing Weight Decay Regularization in Adam (https://arxiv.org/abs/1711.05101)
Brain Tumor Segmentation Using Deep Neural Networks
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63
Keras implementation of paper by the same name
Deep Learning 101
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56
The tools and syntax you need to code neural networks from day one.
Image Captioning With Semantic Attention
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47
Upconv
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41
Repo for our CVPR Paper: Watch your Up-Convolution: CNN Based Generative Deep Neural Networks areFailing to Reproduce Spectral Distributions
Artificial Neural Networks With Jupyter
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41
Artificial Neural Networks - Gradient descent, BFGS, Regularization with Jupyter notebook
Deep Learning Notes
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40
Notes from the DeepLearning.AI courses
The Deep Learning With Keras Workshop
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40
An Interactive Approach to Understanding Deep Learning with Keras
Deeplearning Padhai
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39
All the code files related to the deep learning course from PadhAI
L0.pytorch
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37
an implementation of L0 regularization with PyTorch
Deep Learning Specialization Coursera
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36
Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.
Ml
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35
Nsrmhand
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34
Pytorch implementation of WACV 2020 paper Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation
Adversarial Robustness Public
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30
Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"
Machine Learning Toolkits With Python
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26
Machine learning toolkits with Python
Getting Started With Tensorflow 2
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25
Understand Tensorflow 2.0 step by step. Well Written and Commented for Anyone to learn tf2. Check out the Markdowns for every folder.
Spotify_song_recommender
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24
This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.
Deepred
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20
DeepRED: Deep Image Prior Powered by RED
Bre Gan
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18
Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · R. Huang
Cs345
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18
Jupyter
Coursera Deeplearning.ai Stanford University Machine Learning Specialization
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18
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.
Deep Learning Topics
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18
Campaign Critic
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16
A web app that helps Kickstarter creators increase their chances of being funded
Fast Furious
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16
code (R, Matlab/Octave), models and meta-models I needed in my Machine Learning Lab but I didn't found on the shelf
Machine_learning_from_scratch
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15
Machine Learning models from scratch with a better visualisation
Deep Learning Notes
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15
Deep Learning Coursera Specialization • Lecture Notes • Lab Assignments
Machine Learning Bookcamp 2022
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15
Solutions for the Machine Learning Zoomcamp 2022 by DataTalks.Club.
Predicting Baseball Statistics
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14
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn
Robust Attribution Regularization
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13
Robust Attribution Regularization
Coursera Machine Learning
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13
[WIP] In this repository I implemented all assignments in python. (No octave to python library)
Image_caption_with_semantic_attenion
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12
image caption with semantic attention
Pinvprob
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12
Python code for the linear inverse problem
Deeplearninghandbook
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12
Lecture Slides and Programming Exercises that may help study the deep learning book by Goodfellow, Bengio and Courville.
Machinelearningsamples Iris
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12
Iris Sample
Traffic Sign Cnn
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12
Deep learning network for traffic sign image classification
Trot
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11
A python implementation of discrete optimal transport with a Tsallis entropy regularization.
Dropout_tutorial_in_pytorch
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11
Dropout as Regularization and Bayesian Approximation
Carnd Semantic Segmentation
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10
CarND Semantic Segmentation
Netnmf Sc
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10
netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data
Tomo_tv
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9
C++ library for Regularized 2D and 3D Tomography Reconstructions.
Deepexperiments
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9
TensorFlow/Keras experiments on computer vision and natural language processing
Neural Networks And Deep Learning
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9
Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai
Subsampled_cubic_regularization
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8
Source code for "Sub-sampled Cubic Regularization for Non-convex Optimization", JM Kohler, A Lucchi, https://arxiv.org/abs/1705.05933
Deep_matrix_factorization
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8
Code for Implicit Regularization in Deep Matrix Factorization.
Neuromatchteachingdemo
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8
Deep Learning
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7
Implemented the deep learning techniques using Google Tensorflow that cover deep neural networks with a fully connected network using SGD and ReLUs; Regularization with a multi-layer neural network using ReLUs, L2-regularization, and dropout, to prevent overfitting; Convolutional Neural Networks (CNNs) with learning rate decay and dropout; and Recurrent Neural Networks (RNNs) for text and sequences with Long Short-Term Memory (LSTM) networks.
Predicting Housing Prices
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7
Public Repo of my machine learning project to predict home prices
Capstoneproject_house_prices_prediction
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7
Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysi
Coursera Deep Learning Specialization
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7
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 Networks..
Improving Deep Neural Networks
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7
Improving-Deep-Neural-Networks
Dynamical Isometry From Orthogonality Neural Nets
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6
Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthogonal regularizer on RNNs with SeqMNIST dataset.
Regularization_for_machine_learning
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6
Regularization for Machine Learning-RegML GUI
Adversarial Vqa
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6
Scproject
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6
Transfer Learning of Gene Expression Signatures in Python.
Adversarial_lipschitz_regularization
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6
Adversarial Lipschitz Regularization
Facebook Network Analysis Big5 Personality
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6
Analyzed users’ Big 5 personality traits to predicting network centrality within organic Facebook friend networks using linear regression with lasso regularization and k-folds cross validation.
Ccgowl
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6
Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization
Cmf.jl
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5
Convolutive Matrix Factorization in Julia
Tensorflow
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5
Deep-Learning using TensorFlow (Udacity\Google Course)
Dropblock Keras Implementation
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5
Paper Reproduction: "DropBlock: A regularization method for convolutional networks"
German Traffic Sign Classifier
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5
Speech_commands_recognition
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5
CCF练习赛-通用音频分类
Airbnb Pricing Prediction
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5
Harvard Project - Accuracy improvement by adding seasonality premium pricing
Machine Learning
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5
MachineLearning
Cs578
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5
Class materials for CS578 - Spring 2019
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