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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
pip install antialiased-cnns to improve stability and accuracy
Created
2019-05-14
239 commits to master branch, last one 3 years ago
E(2)-Equivariant CNNs Library for Pytorch
Created
2019-11-20
189 commits to master branch, last one about a year ago
🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥
Created
2023-05-26
218 commits to master branch, last one about a year ago
Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
Created
2022-02-10
32 commits to main branch, last one 2 years ago
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
Created
2019-06-04
18 commits to master branch, last one 6 months ago
This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
Created
2020-06-20
7 commits to master branch, last one 3 years ago
A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.
Created
2018-08-06
59 commits to master branch, last one 2 years ago
[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
Created
2018-10-17
84 commits to master branch, last one 4 years ago
Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs/2006.05259
Created
2020-06-09
7 commits to master branch, last one 10 months ago
several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]
Created
2018-01-19
3 commits to master branch, last one 6 years ago
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
Created
2019-11-03
55 commits to master branch, last one 5 years ago
[CogSci'21] Study of human inductive biases in CNNs and Transformers.
Created
2020-11-13
158 commits to main branch, last one 3 years ago
The official PyTorch implementation for "Normalized Convolution Upsampling for Refined Optical Flow Estimation"
Created
2021-02-08
5 commits to master branch, last one 3 years ago
Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.
Created
2023-05-28
73 commits to main branch, last one about a year ago