29 results found Sort:

MingchaoZhu
DeepLearning MingchaoZhu
1.3k
6.1k
mit
190
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
python xgboost bayesian deep-learning regularization machine-learning ensemble-learning
Created 2020-02-27
27 commits to master branch, last one 4 years ago
IntelLabs
distiller IntelLabs
798
4.3k
apache-2.0
132
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
onnx pruning pytorch early-exit group-lasso distillation quantization truncated-svd regularization jupyter-notebook pruning-structures network-compression deep-neural-networks automl-for-compression
This repository has been archived (exclude archived)
Created 2018-04-24
643 commits to master branch, last one about a year ago
amanchadha
coursera-deep-learning-specialization amanchadha
2.1k
2.8k
unknown
27
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 Neur...
cnns rnns coursera andrew-ng deep-learning neural-network regularization neural-networks andrew-ng-course coursera-assignment hyperparameter-tuning neural-style-transfer coursera-specialization recurrent-neural-network coursera-machine-learning recurrent-neural-networks neural-machine-translation hyperparameter-optimization convolutional-neural-network convolutional-neural-networks
Created 2020-06-24
64 commits to master branch, last one about a month ago
Bjarten
early-stopping-pytorch Bjarten
294
1.2k
mit
9
Early stopping for PyTorch
early mnist python pytorch stopping tutorial early-stopping regularization pytorch-tutorial
Created 2018-12-29
34 commits to master branch, last one 3 years ago
clovaai
CutMix-PyTorch clovaai
159
1.2k
mit
16
Official Pytorch implementation of CutMix regularizer
cutmix iccv2019 augmentation regularization transfer-learning
Created 2019-05-29
11 commits to master branch, last one 3 years ago
tensorflow
neural-structured-learning tensorflow
190
977
apache-2.0
49
Training neural models with structured signals.
keras tensorflow graph-learning regularization neural-networks structured-signals adversarial-learning
Created 2019-08-27
567 commits to master branch, last one 8 months ago
vikasverma1077
manifold_mixup vikasverma1077
65
479
unknown
11
Code for reproducing Manifold Mixup results (ICML 2019)
pytorch icml2019 deep-learning regularization data-augumentation supervised-learning deep-neural-networks supervised-machine-learning
Created 2018-06-12
79 commits to master branch, last one 3 years ago
3dem
relion 3dem
193
432
gpl-2.0
52
Image-processing software for cryo-electron microscopy
ctf gui hpc cuda nvidia relion cryo-em likelihood microscope microscopy regularization atomistic-models image-processing molecular-biology maximum-likelihood graphics-programming molecular-structures biomolecular-dynamics optimization-algorithms high-performance-computing
Created 2017-01-26
6,189 commits to master branch, last one 4 months ago
Yangyangii
GAN-Tutorial Yangyangii
108
376
unknown
4
Simple Implementation of many GAN models with PyTorch.
gan wgan began dcgan mnist celeba infogan pytorch wgan-gp gan-pytorch pytorch-gan vanilla-gan cars-dataset gan-tutorial began-pytorch stanford-cars regularization conditional-gan infogan-pytorch gan-implementations
Created 2018-04-16
41 commits to master branch, last one 4 years ago
nianticlabs
diffusionerf nianticlabs
14
281
mit
23
[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models
nerf diffusion deep-learning radiance-field reconstruction regularization diffusion-models neuralradiance-fields
Created 2023-02-23
15 commits to main branch, last one 6 months ago
AdalbertoCq
Deep-Learning-Specialization-Coursera AdalbertoCq
256
249
unknown
11
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
coursera optimization deep-learning neural-network regularization batch-normalization convolutional-networks
Created 2018-03-13
30 commits to master branch, last one 5 years ago
jiachens
ModelNet40-C jiachens
26
204
bsd-3-clause
14
Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
pytorch benchmark ml-safety robustness deep-learning regularization computer-vision data-augmentation corruption-robustness point-cloud-processing
Created 2022-01-22
112 commits to master branch, last one about a year ago
ShiMengjie
Machine-Learning-Andrew-Ng ShiMengjie
67
169
mit
7
机器学习-Coursera-吴恩达- python+Matlab代码实现
cs229 matlab andrew-ng regularization machine-learning linear-regression logistic-regression
Created 2017-12-21
35 commits to master branch, last one 2 years ago
faridcher
ml-course faridcher
150
167
unknown
13
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
pca svm k-means clustering classification learning-curve neural-network regularization anomalydetection gradient-descent machine-learning linear-regression recommender-system principal-component-analysis
Created 2016-04-15
45 commits to master branch, last one 4 months ago
ildoonet
cutmix ildoonet
30
166
mit
8
a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
iccv naver iccv2019 deep-learning regularization state-of-the-ar data-augmentation convolutional-neural-networks
Created 2019-07-17
19 commits to master branch, last one 3 years ago
hazimehh
L0Learn hazimehh
33
92
other
11
Efficient Algorithms for L0 Regularized Learning
l0learn regularization sparse-modeling machine-learning feature-selection l0-regularization sparse-regression compressed-sensing
Created 2017-10-21
588 commits to master branch, last one 8 months ago
jnagy1
IRtools jnagy1
26
84
other
5
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-Scal...
nmr fista gmres matlab tomography regularization image-deblurring inverse-problems conjugate-gradient krylov-subspace-methods
Created 2018-07-01
36 commits to master branch, last one 2 years ago
shantanu1109
Coursera-DeepLearning.AI-Stanford-University-Machine-Learning-Specialization shantanu1109
44
82
mit
1
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 Lad...
xgboost tensorflow tree-ensemble regularization gradient-descent anomaly-detection kmeans-clustering linear-regression recommender-system logistic-regression reinforcement-learning artificial-neural-networks multiple-linear-regression supervised-machine-learning unsupervised-machine-learning
Created 2022-07-26
175 commits to main branch, last one about a year ago
MingSun-Tse
Regularization-Pruning MingSun-Tse
22
78
unknown
5
[ICLR'21] Neural Pruning via Growing Regularization (PyTorch)
pruning filter-pruning regularization model-compression efficient-neural-networks
Created 2020-12-15
251 commits to master branch, last one 2 years ago
zhangchbin
OnlineLabelSmoothing zhangchbin
10
71
mit
3
The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021
pytorch tip2021 robustness noisy-labels deep-learning classification regularization adversarial-attacks fine-grained-classification
Created 2021-01-04
29 commits to main branch, last one about a year ago
releaunifreiburg
WellTunedSimpleNets releaunifreiburg
13
71
apache-2.0
0
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
hpo automl neurips-2021 tabular-data deep-learning regularization state-of-the-art feedforward-neural-network hyperparameter-optimization
Created 2021-11-05
9 commits to main branch, last one about a year ago
Wei2624
AI_Learning_Hub Wei2624
17
56
mit
7
AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
statistics deep-learning learningnotes regularization svm-classifier learning-theory generative-model machine-learning k-means-clustering deep-neural-networks discriminant-analysis variational-inference gaussian-mixture-models machine-learning-algorithms perceptron-learning-algorithm expectation-maximization-algorithm
Created 2018-12-27
138 commits to master branch, last one 3 years ago
zeke-xie
stable-weight-decay-regularization zeke-xie
5
56
mit
2
[NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.
pytorch optimizer weight-decay deep-learning regularization stochastic-optimization
Created 2020-07-30
40 commits to master branch, last one 3 months ago
decile-team
jensen decile-team
21
50
other
11
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 ...
sgd tron lbfgs jensen regularization lbfgs-algorithm gradient-descent machine-learning convex-optimization logistic-regression optimization-algorithms support-vector-machines machine-learning-algorithms
Created 2018-07-03
38 commits to master branch, last one 2 years ago
zhangyikaii
LAMDA-ZhiJian zhangyikaii
2
45
mit
3
ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse
toolbox model-reuse model-merging regularization pre-trained-model knowledge-distillation parameter-efficient-tuning
Created 2023-07-13
42 commits to main branch, last one 9 months ago
g8a9
ear g8a9
4
42
mit
1
Code associated with the paper "Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists"
nlp attention bert-model regularization attention-mechanism
Created 2022-03-07
13 commits to master branch, last one 2 years ago
Luehrsen
sd_regularization_images Luehrsen
3
37
mit
2
Pre-Rendered Regularization Images fou use with fine-tuning, especially for the current implementation of "Dreambooth"
dreambooth regularization stable-diffusion regularization-methods
Created 2022-12-26
15 commits to main branch, last one about a year ago
pabaq
Coursera-Deep-Learning-Specialization pabaq
10
35
unknown
2
Programming assignments and lecture notes of the Deep Learning Specialization taught by Andrew Ng and offered by deeplearning.ai on Coursera.
coursera transformers deep-learning neural-network regularization object-detection image-segmentation hyperparameter-tuning neural-style-transfer recurrent-neural-networks convolutional-neural-networks
Created 2023-01-23
3 commits to main branch, last one about a year ago
BobbyWilt
Spotify_Song_Recommender BobbyWilt
1
30
mit
2
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.
api keras pandas plotly python spotify spotipy tensorflow scikit-learn song-analysis custom-metrics neural-network regularization machine-learning feature-engineering bayesian-optimization recommendation-system hyperparameter-optimization
Created 2022-03-29
23 commits to main branch, last one about a year ago