14 results found Sort:

MorvanZhou
PyTorch-Tutorial MorvanZhou
3.1k
8.0k
mit
212
Build your neural network easy and fast, 莫烦Python中文教学
cnn dqn gan rnn batch python dropout pytorch tutorial regression autoencoder classification neural-network machine-learning pytorch-tutorial pytorch-tutorials batch-normalization reinforcement-learning generative-adversarial-network
Created 2017-05-05
121 commits to master branch, last one 2 years ago
MorvanZhou
Tensorflow-Tutorial MorvanZhou
1.9k
4.3k
mit
259
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
cnn dqn gan rnn dropout tutorial regression tensorflow autoencoder classification deep-q-network neural-network machine-learning tensorflow-tutorials generative-adversarial-network
Created 2017-05-10
46 commits to master branch, last one 3 years ago
Pizzacus
satania.moe Pizzacus
57
600
other
16
Satania IS the BEST waifu, no really, she is, if you don't believe me, this website will convince you
do her not thx best anime bulli satan waifu please dropout gabriel satania
Created 2017-05-28
290 commits to master branch, last one 3 years ago
parasdahal
deepnet parasdahal
83
320
mit
17
Educational deep learning library in plain Numpy.
cnn adagrad dropout adam-optimizer batch-normalization nesterov-accelerated-sgd
Created 2017-06-03
20 commits to master branch, last one 5 years ago
Jackpopc
aiLearnNotes Jackpopc
60
264
unknown
8
Artificial Intelligence Learning Notes.
cnn dpm hog vgg sift lenet harris alexnet dropout tensorflow deep-learning computer-vision image-denoising image-processing machine-learning image-enhancement image-augmentation image-segmentation activation-function reinforcement-learning
Created 2019-02-20
22 commits to master branch, last one 4 years ago
seba-1511
lstms.pth seba-1511
24
137
apache-2.0
9
PyTorch implementations of LSTM Variants (Dropout + Layer Norm)
gal rnn lstm moon dropout pytorch
Created 2017-05-19
31 commits to master branch, last one 3 years ago
ivannz
cplxmodule ivannz
27
131
mit
11
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
dropout pytorch sparsification complex-networks variational-bayes
Created 2019-04-25
444 commits to master branch, last one 2 years ago
VITA-Group
Deep_GCN_Benchmarking VITA-Group
21
126
mit
3
[TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
ogb dropout benchmark normalization training-tricks skip-connections deep-graph-library deep-graph-networks graph-neural-networks
Created 2021-08-12
31 commits to main branch, last one 2 years ago
AnicetNgrt
jiro-nn AnicetNgrt
3
120
unknown
3
A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.
ml nn gpu sgd adam cuda rust opencl dropout nalgebra pipelines regression data-analysis deep-learning gpu-computing classification neural-networks machine-learning
Created 2023-03-30
184 commits to main branch, last one 8 months ago
rezakj
iCellR rezakj
19
119
unknown
13
Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq and Spatial Transcriptom...
3d umap icellr dropout cite-seq scrna-seq scvdj-seq clustering imputation pseudotime 10xgenomics normalization diffusion-maps intractive-graph batch-normalization clustering-algorithm singel-cell-sequencing cell-type-classification
Created 2018-12-11
83 commits to master branch, last one 3 months ago
anassinator
bnn anassinator
27
77
mit
3
Bayesian Neural Network in PyTorch
bnn dropout pytorch neural-network concrete-dropout bayesian-inference artificial-intelligence bayesian-neural-networks
Created 2018-07-09
2 commits to master branch, last one 4 years ago
KlugerLab
ALRA KlugerLab
19
71
mit
7
Imputation method for scRNA-seq based on low-rank approximation
svd dropout scrna-seq imputation matrix-completion
Created 2018-08-22
33 commits to master branch, last one about a year ago
ahmedfgad
CIFAR10CNNFlask ahmedfgad
36
61
unknown
8
Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.
cnn css html http relu flask python convnet dropout javascript tensorflow max-pooling computer-vision web-application image-processing image-classification fully-connected-network convolutional-neural-network
Created 2018-04-29
36 commits to master branch, last one about a year ago
VITA-Group
Random-MoE-as-Dropout VITA-Group
2
41
apache-2.0
2
[ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal, Shiwei Liu, Zhangyang Wang
moe dropout transformer self-slimmable
Created 2023-02-18
2 commits to main branch, last one about a year ago