regularization | Topic | Ecosyste.ms: Repos

Topic: "regularization"

MingchaoZhu/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

Language: Python - Size: 31.8 MB - Last synced at: 9 days ago - Pushed at: almost 5 years ago - Stars: 6,993 - Forks: 1,380

IntelLabs/distiller 📦

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Language: Jupyter Notebook - Size: 40.5 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 4,390 - Forks: 805

amanchadha/coursera-deep-learning-specialization

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

Language: Jupyter Notebook - Size: 207 MB - Last synced at: 16 days ago - Pushed at: 27 days ago - Stars: 3,680 - Forks: 2,511

Bjarten/early-stopping-pytorch

Early stopping for PyTorch

Language: Jupyter Notebook - Size: 718 KB - Last synced at: 16 days ago - Pushed at: 7 months ago - Stars: 1,252 - Forks: 292

clovaai/CutMix-PyTorch

Official Pytorch implementation of CutMix regularizer

Language: Python - Size: 198 KB - Last synced at: 13 days ago - Pushed at: over 4 years ago - Stars: 1,240 - Forks: 158

tensorflow/neural-structured-learning

Training neural models with structured signals.

Language: Python - Size: 28.8 MB - Last synced at: about 7 hours ago - Pushed at: 4 months ago - Stars: 1,004 - Forks: 190

miguelvr/dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

Language: Python - Size: 48.8 KB - Last synced at: 14 days ago - Pushed at: almost 5 years ago - Stars: 596 - Forks: 95

vikasverma1077/manifold_mixup

Code for reproducing Manifold Mixup results (ICML 2019)

Language: Python - Size: 40.4 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 487 - Forks: 63

3dem/relion

Image-processing software for cryo-electron microscopy

Language: C++ - Size: 58.2 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 465 - Forks: 205

Yangyangii/GAN-Tutorial

Simple Implementation of many GAN models with PyTorch.

Language: Jupyter Notebook - Size: 3.44 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 349 - Forks: 103

nianticlabs/diffusionerf

[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models

Language: Python - Size: 2.43 MB - Last synced at: 17 days ago - Pushed at: over 1 year ago - Stars: 304 - Forks: 17

xgastaldi/shake-shake

2.86% and 15.85% on CIFAR-10 and CIFAR-100

Language: Lua - Size: 29.3 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 296 - Forks: 32

AdalbertoCq/Deep-Learning-Specialization-Coursera

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

Language: Jupyter Notebook - Size: 122 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 249 - Forks: 256

jiachens/ModelNet40-C

Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296

Language: Python - Size: 25.9 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 205 - Forks: 25

callmekeyboardman/Machine-Learning-Andrew-Ng

机器学习-Coursera-吴恩达- python+Matlab代码实现

Language: MATLAB - Size: 23.3 MB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 186 - Forks: 68

faridcher/ml-course

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Language: R - Size: 36.5 MB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 168 - Forks: 150

ildoonet/cutmix

a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

Language: Python - Size: 87.9 KB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 167 - Forks: 30

madrury/py-glm

Generalized Linear Models in Sklearn Style

Language: Python - Size: 572 KB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 128 - Forks: 31

wuliwei9278/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"

Language: Python - Size: 11 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 111 - Forks: 18

hazimehh/L0Learn

Efficient Algorithms for L0 Regularized Learning

Language: C++ - Size: 71.4 MB - Last synced at: about 24 hours ago - Pushed at: over 1 year ago - Stars: 101 - Forks: 31

machinelearningnuremberg/WellTunedSimpleNets

[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets

Language: Python - Size: 95.7 KB - Last synced at: 8 days ago - Pushed at: over 2 years ago - Stars: 85 - Forks: 15

MrinmoiHossain/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.

Language: Jupyter Notebook - Size: 128 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 77 - Forks: 87

jnagy1/IRtools

MATLAB package of iterative regularization methods and large-scale test problems. This software is described in the paper "IR Tools: A MATLAB Package of Iterative Regularization Methods and Large-Scale Test Problems" that will be published in Numerical Algorithms, 2018.

Language: MATLAB - Size: 285 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 75 - Forks: 26

pabaq/Coursera-Deep-Learning-Specialization

Programming assignments and lecture notes of the Deep Learning Specialization taught by Andrew Ng and offered by deeplearning.ai on Coursera.

Language: Jupyter Notebook - Size: 326 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 69 - Forks: 19

MingSun-Tse/Regularization-Pruning

[ICLR'21] Neural Pruning via Growing Regularization (PyTorch)

Language: Python - Size: 2.17 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 69 - Forks: 17

m-clark/book-of-models

Spells for everyday living, also a book -- Models Demystified -- coming out in 2025.

Language: Python - Size: 150 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 68 - Forks: 14

zhangchbin/OnlineLabelSmoothing

The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021

Language: Python - Size: 2.05 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 63 - Forks: 8

vkazei/fastFWI

Simple frequency domain full-waveform inversion (FWI) regularized by Sobolev space norm

Language: MATLAB - Size: 2.21 MB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 62 - Forks: 18

emilwallner/Deep-Learning-101

The tools and syntax you need to code neural networks from day one.

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 60 - Forks: 15

TomographicImaging/CCPi-Regularisation-Toolkit

The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks

Language: C - Size: 106 MB - Last synced at: 9 days ago - Pushed at: 6 months ago - Stars: 56 - Forks: 25

Wei2624/AI_Learning_Hub

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

Language: HTML - Size: 3.23 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 54 - Forks: 17

dkazanc/ToMoBAR

TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software

Language: Python - Size: 67.4 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 52 - Forks: 14

vene/pyowl

Ordered Weighted L1 regularization for classification and regression in Python

Language: Python - Size: 48.8 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 52 - Forks: 10

PacktWorkshops/The-Deep-Learning-with-Keras-Workshop

An Interactive Approach to Understanding Deep Learning with Keras

Language: Jupyter Notebook - Size: 229 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 51 - Forks: 91

zhangyikaii/LAMDA-ZhiJian

ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse

Language: Python - Size: 13 MB - Last synced at: 11 days ago - Pushed at: almost 2 years ago - Stars: 50 - Forks: 2

decile-team/jensen

A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)

Language: C++ - Size: 20.4 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 50 - Forks: 21

StructuralEquationModels/StructuralEquationModels.jl

A fast and flexible Structural Equation Modelling Framework

Language: Julia - Size: 3.65 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 49 - Forks: 6

g8a9/ear

Code associated with the paper "Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists"

Language: Python - Size: 237 KB - Last synced at: 7 days ago - Pushed at: about 3 years ago - Stars: 48 - Forks: 5

hwalsuklee/numpy-neuralnet-exercise

Implementation of key concepts of neuralnetwork via numpy

Language: Python - Size: 26.4 MB - Last synced at: about 2 months ago - Pushed at: over 7 years ago - Stars: 48 - Forks: 13

itsrainingdata/sparsebn

Software for learning sparse Bayesian networks

Language: R - Size: 2.84 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 43 - Forks: 8

joshday/SparseRegression.jl

Statistical Models with Regularization in Pure Julia

Language: Julia - Size: 883 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 40 - Forks: 4

zmyzheng/Neural-Networks-and-Deep-Learning

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

Language: Jupyter Notebook - Size: 662 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 40 - Forks: 13

hiyouga/AMP-Regularizer

Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021

Language: Python - Size: 97.7 KB - Last synced at: 2 months ago - Pushed at: about 4 years ago - Stars: 36 - Forks: 9

teelinsan/KerasDropconnect

An implementation of DropConnect Layer in Keras

Language: Python - Size: 9.77 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 36 - Forks: 12

mughanibu/Deep-Learning-for-Inverse-Problems

This project hosts the code and datasets I used for Deep Learning course at Boston University. It aims to post-process the images the low quality images produced as a result of solving inverse problems in imaging (particularly Computed Tomography) and produce high-quality images.

Language: Python - Size: 32.9 MB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 36 - Forks: 20

zeke-xie/stable-weight-decay-regularization

[NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.

Language: Python - Size: 40 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 35 - Forks: 3

yang-han/P-reg

Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)

Language: Python - Size: 531 KB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 34 - Forks: 8

satwik77/libnmf

Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)

Language: Python - Size: 78.1 KB - Last synced at: 7 days ago - Pushed at: over 6 years ago - Stars: 33 - Forks: 3

utkuufuk/coursera-machine-learning 📦

My lecture notes and assignment solutions for the Coursera machine learning class taught by Andrew Ng.

Language: Matlab - Size: 63.6 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 33 - Forks: 19

DeepWave-KAUST/diffefwi

Official repository for the "Learned regularizations for multi-parameter elastic full waveform inversion using diffusion models" paper.

Language: Jupyter Notebook - Size: 128 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 31 - Forks: 4

dogyoonlee/RSMix

[CVPR 2021 - Official] Rigid Subset Mix (RSMix): Regularization Strategy for Point Cloud via Rigidly Mixed Samples

Language: Python - Size: 1.87 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 31 - Forks: 2

BobbyWilt/Spotify_Song_Recommender

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.

Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 30 - Forks: 1

utahnlp/consistency

Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models

Language: Python - Size: 12.9 MB - Last synced at: 6 months ago - Pushed at: almost 4 years ago - Stars: 30 - Forks: 3

davejacobs/ml

A set of machine learning experiments in Clojure

Language: Clojure - Size: 9.17 MB - Last synced at: about 2 years ago - Pushed at: over 12 years ago - Stars: 30 - Forks: 1

rdrr1990/bigKRLS

Now on CRAN, bigKRLS combines bigmemory & RcppArmadillo (C++) for speed into a new Kernel Regularized Least Squares algorithm. Slides:

Language: R - Size: 3.66 MB - Last synced at: 11 months ago - Pushed at: almost 6 years ago - Stars: 29 - Forks: 7

d1024choi/traj-pred-irl

Official implementation of "Regularizing neural networks for future trajectory prediction via IRL framework" published in IET CV

Language: Python - Size: 9.35 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 28 - Forks: 5

anishsingh20/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.

Language: R - Size: 3.26 MB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 28 - Forks: 24

m-clark/introduction-to-machine-learning

A document covering machine learning basics. 🤖📊

Language: R - Size: 89.9 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 13

rahulmadanahalli/manifold_mixup

Tensorflow implementation of the Manifold Mixup machine learning research paper

Language: Python - Size: 128 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 4

jrbourbeau/pyunfold

Iterative unfolding for Python

Language: Python - Size: 6.82 MB - Last synced at: 1 day ago - Pushed at: over 4 years ago - Stars: 27 - Forks: 13

Westlake-AI/SEMA

Switch EMA: A Free Lunch for Better Flatness and Sharpness

Language: Python - Size: 2.19 MB - Last synced at: 23 days ago - Pushed at: over 1 year ago - Stars: 26 - Forks: 2

avik-pal/RegNeuralDE.jl

Official Implementation of "Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics" (ICML 2021)

Language: Julia - Size: 259 KB - Last synced at: 2 days ago - Pushed at: over 2 years ago - Stars: 26 - Forks: 4

JuliaML/PenaltyFunctions.jl

Julia package of regularization functions for machine learning

Language: Julia - Size: 122 KB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 26 - Forks: 9

Rustam-Z/deep-learning-notes

🧠👨‍💻Deep Learning Specialization • Lecture Notes • Lab Assignments

Language: Jupyter Notebook - Size: 276 MB - Last synced at: 10 months ago - Pushed at: almost 4 years ago - Stars: 26 - Forks: 4

VITA-Group/Diverse-ViT

[CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang

Language: Python - Size: 173 KB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 25 - Forks: 3

shantanu1109/Coursera-DeepLearning.AI-Stanford-University-Machine-Learning-Specialization

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.

Language: Jupyter Notebook - Size: 93.6 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 12

jxareas/ml-zoomcamp-2022

Solutions for the Machine Learning Zoomcamp 2022 by DataTalks.Club.

Language: Jupyter Notebook - Size: 1.63 MB - Last synced at: 21 days ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 2

nlpub/hyperstar 📦

Hyperstar: Negative Sampling Improves Hypernymy Extraction Based on Projection Learning.

Language: Python - Size: 167 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 24 - Forks: 6

Kthyeon/KAIST-AI-NeurIPS2019-MicroNet-2nd-place-solution

NeurIPSCD2019, MicroNet Challenge hosted by Google, Deepmind Researcher, "Efficient Model for Image Classification With Regularization Tricks".

Language: Python - Size: 33.3 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 23 - Forks: 7

rmlin/CoMHE

Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.

Language: Python - Size: 1.18 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 23 - Forks: 2

speechpro/mixup

Language: C++ - Size: 72.3 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 22 - Forks: 11

amazon-science/textadain-robust-recognition

TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers

Language: Python - Size: 690 KB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 21 - Forks: 1

egpivo/SpatPCA

R Package: Regularized Principal Component Analysis for Spatial Data

Language: R - Size: 110 MB - Last synced at: 27 days ago - Pushed at: 9 months ago - Stars: 20 - Forks: 1

MingSun-Tse/TPP

[ICLR'23] Trainability Preserving Neural Pruning (PyTorch)

Language: Python - Size: 982 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 20 - Forks: 0

benedekrozemberczki/FSCNMF

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

Language: Python - Size: 851 KB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 20 - Forks: 9

cfinlay/tulip

Scaleable input gradient regularization

Language: Python - Size: 35.2 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 20 - Forks: 4

DataSlingers/clustRviz

Compute Convex (Bi)Clustering Solutions via Algorithmic Regularization

Language: R - Size: 36.6 MB - Last synced at: 7 months ago - Pushed at: over 4 years ago - Stars: 19 - Forks: 14

CyberZHG/torch-layer-normalization 📦

Layer normalization in PyTorch

Language: Python - Size: 8.79 KB - Last synced at: 17 days ago - Pushed at: about 5 years ago - Stars: 19 - Forks: 6

michael-cummins/DeePC-Hunt

Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.

Language: Python - Size: 26.5 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 18 - Forks: 2

mayur7garg/PlantLeafDiseaseDetection

Deep learning using CNN in tensorflow on Kaggle image dataset containing 87,900 different healthy and unhealthy crop leaves spanning 38 unique classes.

Language: Jupyter Notebook - Size: 29.9 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 18 - Forks: 3

xternalz/SDPoint

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

Language: Python - Size: 10.7 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 18 - Forks: 4

DataSlingers/MoMA

MoMA: Modern Multivariate Analysis in R

Language: R - Size: 940 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 18 - Forks: 3

transbioZI/RMTL

Regularized Multi-task Learning in R

Language: R - Size: 331 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 18 - Forks: 12

NikhilaThota/CapstoneProject_House_Prices_Prediction

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 analysis.

Language: Jupyter Notebook - Size: 7.91 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 18 - Forks: 13

jtschwar/tomo_TV

C++ library for Regularized 2D and 3D Tomography Reconstructions.

Language: Jupyter Notebook - Size: 174 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 17 - Forks: 7

Luehrsen/sd_regularization_images

Pre-Rendered Regularization Images fou use with fine-tuning, especially for the current implementation of "Dreambooth"

Size: 1010 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 17 - Forks: 1

mnassar/deeplearninghandbook

Lecture Slides and Programming Exercises that may help study the deep learning book by Goodfellow, Bengio and Courville.

Language: Jupyter Notebook - Size: 71.6 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 17 - Forks: 2

rakibhhridoy/AnomalyDetectionInTimeSeriesData-Keras

Statistics, signal processing, finance, econometrics, manufacturing, networking[disambiguation needed] and data mining, anomaly detection (also outlier detection) is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors in a text. Anomalies are also referred to as outliers, novelties, noise, deviations and exceptions.

Language: Jupyter Notebook - Size: 7.6 MB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 17 - Forks: 2

utahnlp/structured_tuning_srl

Implementation of our ACL 2020 paper: Structured Tuning for Semantic Role Labeling

Language: Python - Size: 802 KB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 16 - Forks: 2

tayebiarasteh/DeepLearning_from_scratch

A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.

Language: Python - Size: 11.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 16 - Forks: 2

henrygouk/mars-finetuning

Language: Python - Size: 37.1 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 3

Nikeshbajaj/Machine_Learning_From_Scratch

Machine Learning models from scratch with a better visualisation

Language: Jupyter Notebook - Size: 51.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 15 - Forks: 8

Kirill-Kravtsov/drophead-pytorch

An implementation of drophead regularization for pytorch transformers

Language: Python - Size: 13.7 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 15 - Forks: 6

MohamedSebaie/Coursera--Deep_Learning_Specialization--By_Anderw_Ng

Coursera (Deep_Learning_Specialization) By Andrew Ng and offered by deeplearning.ai.**Each of the below Courses Contains Notes, programming assignments, and quizzes.1- Neural Networks and Deep Learning;2- Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization; 3- Structuring Machine Learning Projects; 4- Convolutional Neural Networks;5- Sequence Models.

Language: Jupyter Notebook - Size: 112 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 10