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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 Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Network…
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Oct 8, 2025
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pip install antialiased-cnns to improve stability and accuracy
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Apr 8, 2024
Python
E(2)-Equivariant CNNs Library for Pytorch
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Oct 17, 2023
Python
🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥
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Jan 11, 2024
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Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
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Oct 5, 2022
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Keras implementation of a ResNet-CAM model
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Feb 1, 2018
Python
Dilated CNNs for NER in TensorFlow
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Mar 9, 2019
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EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
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May 20, 2024
Python
This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
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Jul 11, 2021
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A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.
[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
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Dec 31, 2021
Python
Code for the paper Language Identification Using Deep Convolutional Recurrent Neural Networks
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Apr 11, 2018
Python
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Jan 21, 2024
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Going deeper into Deep CNNs through visualization methods: Saliency maps, optimize a random input image and deep dreaming with Keras
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May 17, 2020
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A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
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Jun 21, 2022
Python
several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]
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Oct 9, 2022
Python
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Jul 7, 2020
Python
[CogSci'21] Study of human inductive biases in CNNs and Transformers.
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May 18, 2021
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The official PyTorch implementation for "Normalized Convolution Upsampling for Refined Optical Flow Estimation"
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Feb 19, 2021
Python
Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.
Updated
Aug 27, 2023
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