15 results found Sort:

amanchadha
coursera-deep-learning-specialization amanchadha
2.3k
3.1k
unknown
29
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 6 months ago
adobe
antialiased-cnns adobe
202
1.7k
other
38
pip install antialiased-cnns to improve stability and accuracy
cnns icml icml-2019 antialiasing computer-vision shift-invariant shift-equivariant artificial-intelligence convolutional-neural-networks
Created 2019-05-14
239 commits to master branch, last one 3 years ago
QUVA-Lab
e2cnn QUVA-Lab
74
602
other
18
E(2)-Equivariant CNNs Library for Pytorch
cnns pytorch equivariance group-convolution equivariant-network
Created 2019-11-20
189 commits to master branch, last one about a year ago
changzy00
pytorch-attention changzy00
35
395
mit
3
🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥
cnns vits mlp-networks attention-mechanisms pytorch-implementation
Created 2023-05-26
218 commits to master branch, last one about a year ago
Nyandwi
ModernConvNets Nyandwi
40
342
mit
8
Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
cnns keras convnets tensorflow computer-vision neural-networks image-classification deep-learning-algorithms convolutional-neural-networks
Created 2022-02-10
32 commits to main branch, last one 2 years ago
SuperBruceJia
EEG-Motor-Imagery-Classification-CNNs-TensorFlow SuperBruceJia
47
204
unknown
5
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
eeg esi cnns matlab python eeg-data brain-com tensorflow eeg-signals eeg-analysis motor-imagery tensorflow-models eeg-classification motor-imagery-tasks motor-imagery-training tensorflow-experiments brain-computer-interface motor-imagery-classification convolutional-neural-networks
Created 2019-06-04
18 commits to master branch, last one 5 months ago
amanchadha
stanford-cs231n-assignments-2020 amanchadha
66
161
unknown
5
This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
cnns rnns cs231 cs231n stanford deep-learning neural-network computer-vision image-processing captioning-images cs231n-assignment attention-mechanism vision-and-language deep-neural-networks recurrent-neural-networks stanford-machine-learning convolutional-neural-networks
Created 2020-06-20
7 commits to master branch, last one 3 years ago
CAS-CLab
CNN-Inference-Engine-Quick-View CAS-CLab
18
150
unknown
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A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.
cnn cnns ai-benchmarks inference-engine speed-benchmarks inference-engines cnn-inference-engine
Created 2018-08-06
59 commits to master branch, last one 2 years ago
VITA-Group
Orthogonality-in-CNNs VITA-Group
28
127
unknown
10
[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
cnns orthogonal deep-learning computer-vision
Created 2018-10-17
84 commits to master branch, last one 4 years ago
dwromero
wavelet_networks dwromero
5
80
mit
10
Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs/2006.05259
cnns pytorch time-series equivariance group-convolution
Created 2020-06-09
7 commits to master branch, last one 9 months ago
scofield7419
basic_NNs_in_frameworks scofield7419
22
64
unknown
5
several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]
mlp cnns keras theano pytorch tensorflow autoencoder recurrentnn recursivenn
Created 2018-01-19
3 commits to master branch, last one 6 years ago
amanchadha
FRVSR-GAN amanchadha
13
59
gpl-3.0
4
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
cnn gan cnns gans psnr sisr ssim srgan opencv python python3 pytorch frvsr-gan adjacent-frames frame-recurrence super-resolution video-super-resolution recurrent-neural-network convolutional-neural-networks generative-adversarial-network
Created 2019-11-03
55 commits to master branch, last one 4 years ago
shikhartuli
cnn_txf_bias shikhartuli
3
43
unknown
6
[CogSci'21] Study of human inductive biases in CNNs and Transformers.
cnns transformers inductive-biases
Created 2020-11-13
158 commits to main branch, last one 3 years ago
abdo-eldesokey
RAFT-NCUP abdo-eldesokey
3
41
unknown
1
The official PyTorch implementation for "Normalized Convolution Upsampling for Refined Optical Flow Estimation"
cnns pytorch upsampling optical-flow interpolation interpolation-methods
Created 2021-02-08
5 commits to master branch, last one 3 years ago
sayakpaul
keras-xla-benchmarks sayakpaul
2
36
apache-2.0
2
Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.
xla cnns keras keras-cv benchmarks tensorflow transformers tensorflow-hub
Created 2023-05-28
73 commits to main branch, last one about a year ago