Topic: cnns Goto Github
Some thing interesting about cnns
Some thing interesting about cnns
cnns,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 Networks..
User: abbasmzs
cnns,The official PyTorch implementation for "Normalized Convolution Upsampling for Refined Optical Flow Estimation"
User: abdo-eldesokey
cnns,Band-limited Training and Inference for Convolutional Neural Networks
User: adam-dziedzic
Home Page: https://adam-dziedzic.github.io/bandlimited-cnns/
cnns,pip install antialiased-cnns to improve stability and accuracy
Organization: adobe
Home Page: https://richzhang.github.io/antialiased-cnns/
cnns,Keras implementation of a ResNet-CAM model
User: alexisbcook
cnns,Implementation of CNN (Convolutional neural network) from scratch
User: amajji
cnns,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 Networks; (v) Sequence Models
User: amanchadha
cnns,A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
User: amanchadha
Home Page: http://amanchadha.com/projects/ai/dl/AmanChadha_CS230ProjectMilestone.pdf
cnns,This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
User: amanchadha
cnns,Speech Emotion Recognition (SER) using CNNs and CRNNs Based on Mel Spectrograms and Mel Frequency Cepstral Coefficients (MFCCs)
User: amirragab-ds
Home Page: https://datascrutineer.com/speech-emotion-recognition-cnns-tensorflow/
cnns,In this repository, a very informative and comprehensive implementation of ConvMixer architecture is provided for educational purposes using PyTorch.
User: ardawanism
Home Page: https://youtu.be/Cn_fWSi4tKs?si=pgCox4bkvISG-hwb
cnns, π¦Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.π₯π₯π₯
User: changzy00
cnns,Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2002.03830
User: dwromero
cnns,Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs/2006.05259
User: dwromero
cnns,This repo contains the source code of the project "FPGA implementation of BCIs using QCNNs" submitted to the Xilinx Open Hardware Design Competition 2021.
User: eneriz-daniel
cnns,Introduction to Deep Learning with TensorFlow by Udacity
User: faisalahmedbijoy
cnns,Recognising Displaced People from Images by Exploiting Dominance Level - CVPR '19 Workshop on Computer Vision for Global Challenges (CV4GC)
User: gkalliatakis
cnns,Glaucoma detection automation project. Trained a binary image classifier using CNNs and deployed as a streamlit web app. It takes eye (retinal scan) image as input and outputs whether the person is affected by glaucoma or not.
User: golden-panther
cnns,An open source Verilog Based LeNet-1 Parallel CNNs Accelerator for FPGAs in Vivado 2017
User: hazooree
cnns,A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.
User: holmesshuan
cnns,Code for the paper Language Identification Using Deep Convolutional Recurrent Neural Networks
Organization: hpi-deeplearning
cnns,Going deeper into Deep CNNs through visualization methods: Saliency maps, optimize a random input image and deep dreaming with Keras
User: ibrahimsobh
cnns,Dilated CNNs for NER in TensorFlow
Organization: iesl
cnns,A dynamic method for converting tabular data to images to apply CNNs on tabular data.
User: ifraham
cnns,Official Pytorch Code for "Exploring Overcomplete Representations for Single Image Deraining using CNNs" - IEEE Journal of STSP
User: jeya-maria-jose
cnns,In this repository you will find an end to end hands-on tutorial of an example of machine learning in production. The objective will be to create and deploy in the cloud a machine learning application able to recognize and classify different audio sounds.
User: jsalbert
Home Page: https://www.albertjimenez.xyz/sound_classification_ml_production/
cnns,Utilizing CNNs for driving scene reconstruction from single images.
User: karoly-hars
cnns,Code for our WACV 2021 paper "Exploiting the Redundancy in Convolutional Filters for Parameter Reduction"
User: kkahatapitiya
cnns,Deep learning for particle physicists
User: lewtun
Home Page: https://lewtun.github.io/dl4phys/
cnns,Generate Car Designs Using GANs
User: martinoywa
cnns,CNNs for CIFAR10 (TensorFlow 2)
User: moonarchitect
cnns,Attention based Dual-Branch Complex Feature Fusion Network for Hyperspectral Image Classification
User: mqalkhatib
cnns,Regression in Convolutional Neural Network applied to Plant Leaf Count
User: neemiasbsilva
cnns,Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
User: nyandwi
cnns,E(2)-Equivariant CNNs Library for Pytorch
Organization: quva-lab
Home Page: https://quva-lab.github.io/e2cnn/
cnns,ConvNeXt conversion code for PT to TF along with evaluation code on ImageNet-1k val.
User: sayakpaul
Home Page: https://www.tensorflow.org/api_docs/python/tf/keras/applications/convnext
cnns,Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.
User: sayakpaul
Home Page: http://wandb.me/keras-xla-benchmark
cnns,Code and scripts for training and testing isolated spoken word recognition in PyTorch with CNNs
User: saztorralba
cnns,several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]
User: scofield7419
Home Page: https://github.com/scofield7419/basic_NNs_in_frameworks
cnns,Learning mappings to generate city maps images from corresponding satellite images.
User: shagunuppal
cnns,[CogSci'21] Study of human inductive biases in CNNs and Transformers.
User: shikhartuli
cnns,Project page of the paper 'Non-blind Deblurring: Handling Kernel Uncertainty with CNNs' (CVPR 2018)
User: subeeshvasu
cnns,EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
User: superbrucejia
Home Page: https://iopscience.iop.org/article/10.1088/1741-2552/ab4af6/meta
cnns,Named Entity Recognition with Bidirectional LSTM-CNNs
User: thanhchinhbk
cnns,AI@UCF's custom-made course, organized by semesters
Organization: ucfai
Home Page: https://ucfai.org/groups/core
cnns,[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
Organization: vita-group
Home Page: https://arxiv.org/abs/1810.09102
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.