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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
Created
2020-02-27
27 commits to master branch, last one 4 years ago
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
This repository has been archived
(exclude archived)
Created
2018-04-24
643 commits to master branch, last one about a year ago
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 7 months ago
Early stopping for PyTorch
Created
2018-12-29
67 commits to main branch, last one 10 days ago
Official Pytorch implementation of CutMix regularizer
Created
2019-05-29
11 commits to master branch, last one 4 years ago
Training neural models with structured signals.
Created
2019-08-27
568 commits to master branch, last one 5 months ago
Code for reproducing Manifold Mixup results (ICML 2019)
Created
2018-06-12
79 commits to master branch, last one 4 years ago
Image-processing software for cryo-electron microscopy
Created
2017-01-26
6,197 commits to master branch, last one about a month ago
Simple Implementation of many GAN models with PyTorch.
Created
2018-04-16
41 commits to master branch, last one 5 years ago
[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models
Created
2023-02-23
15 commits to main branch, last one about a year ago
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
Created
2018-03-13
30 commits to master branch, last one 6 years ago
Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
Created
2022-01-22
112 commits to master branch, last one about a year ago
机器学习-Coursera-吴恩达- python+Matlab代码实现
Created
2017-12-21
35 commits to master branch, last one 2 years ago
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Created
2016-04-15
46 commits to master branch, last one 5 months ago
a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
Created
2019-07-17
19 commits to master branch, last one 4 years ago
68
115
mit
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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...
Created
2022-07-26
175 commits to main branch, last one about a year ago
Efficient Algorithms for L0 Regularized Learning
Created
2017-10-21
588 commits to master branch, last one about a year ago
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...
Created
2018-07-01
36 commits to master branch, last one 2 years ago
[ICLR'21] Neural Pruning via Growing Regularization (PyTorch)
Created
2020-12-15
251 commits to master branch, last one 3 years ago
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
Created
2021-11-05
9 commits to main branch, last one about a year ago
The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021
Created
2021-01-04
29 commits to main branch, last one 2 years ago
Programming assignments and lecture notes of the Deep Learning Specialization taught by Andrew Ng and offered by deeplearning.ai on Coursera.
Created
2023-01-23
3 commits to main branch, last one about a year ago
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 4 years ago
[NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.
Created
2020-07-30
40 commits to master branch, last one 9 months ago
ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse
Created
2023-07-13
42 commits to main branch, last one about a year ago
TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software
Created
2018-05-16
458 commits to master branch, last one 13 days ago
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 ...
Created
2018-07-03
38 commits to master branch, last one 2 years ago
An Interactive Approach to Understanding Deep Learning with Keras
keras
scalars
vectors
regression
tensorflow
model-tuning
scikit-learn
classification
decision-trees
regularization
cross-validation
machine-learning
model-evaluation
k-means-clustering
logistic-regression
hyperparameter-tuning
linear-transformation
support-vector-machine
artificial-neural-networks
magnetic-resonance-imaging
Created
2019-12-05
133 commits to master branch, last one 3 years ago
Code associated with the paper "Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists"
Created
2022-03-07
13 commits to master branch, last one 2 years ago
A fast and flexible Structural Equation Modelling Framework
Created
2019-12-17
930 commits to main branch, last one 2 days ago