Topic: convolutional-neural-networks Goto Github
Some thing interesting about convolutional-neural-networks
Some thing interesting about convolutional-neural-networks
convolutional-neural-networks,pip install antialiased-cnns to improve stability and accuracy
Organization: adobe
Home Page: https://richzhang.github.io/antialiased-cnns/
convolutional-neural-networks,VIP cheatsheets for Stanford's CS 230 Deep Learning
User: afshinea
Home Page: https://stanford.edu/~shervine/teaching/cs-230/
convolutional-neural-networks,Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
User: aiff22
convolutional-neural-networks,A simple interface for editing natural photos with generative neural networks.
User: ajbrock
convolutional-neural-networks,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
convolutional-neural-networks,PyTorch implementation of Super SloMo by Jiang et al.
User: avinashpaliwal
convolutional-neural-networks,Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
User: binroot
Home Page: http://www.tensorflowbook.com
convolutional-neural-networks,A High-Quality Real Time Upscaler for Anime Video
User: bloc97
Home Page: https://bloc97.github.io/Anime4K/
convolutional-neural-networks,It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
User: boltzmannentropy
convolutional-neural-networks,🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
Organization: brainjs
Home Page: https://brain.js.org
convolutional-neural-networks,all kinds of text classification models and more with deep learning
User: brightmart
convolutional-neural-networks,🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
User: christianversloot
convolutional-neural-networks,Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
User: deeplearningturkiye
convolutional-neural-networks,Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
User: dipanjans
convolutional-neural-networks,深度学习与PyTorch入门实战视频教程 配套源代码和PPT
User: dragen1860
Home Page: https://study.163.com/course/introduction/1208894818.htm
convolutional-neural-networks,Simple and comprehensive tutorials in TensorFlow
Organization: easy-tensorflow
Home Page: http://www.easy-tensorflow.com
convolutional-neural-networks,Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
User: eric-mingjie
convolutional-neural-networks,CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
User: filipradenovic
Home Page: http://cmp.felk.cvut.cz/cnnimageretrieval
convolutional-neural-networks,Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
Organization: google-research
Home Page: https://arxiv.org/abs/1912.11370
convolutional-neural-networks,High-efficiency floating-point neural network inference operators for mobile, server, and Web
Organization: google
convolutional-neural-networks,Deep Learning for Time Series Classification
User: hfawaz
convolutional-neural-networks,Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Organization: huawei-noah
convolutional-neural-networks,Deep Learning in Haskell
User: huwcampbell
convolutional-neural-networks,Convolutional Neural Networks to predict the aesthetic and technical quality of images.
Organization: idealo
Home Page: https://idealo.github.io/image-quality-assessment/
convolutional-neural-networks,🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Organization: idealo
Home Page: https://idealo.github.io/image-super-resolution/
convolutional-neural-networks,T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
User: jeffheaton
Home Page: https://sites.wustl.edu/jeffheaton/t81-558/
convolutional-neural-networks,Official Implementation of 'Fast AutoAugment' in PyTorch.
Organization: kakaobrain
convolutional-neural-networks,Interactive convnet features visualization for Keras
Organization: keplr-io
Home Page: https://keplr-io.github.io/quiver/
convolutional-neural-networks,Text Classification Algorithms: A Survey
User: kk7nc
convolutional-neural-networks,Image Deblurring using Generative Adversarial Networks
User: kupynorest
convolutional-neural-networks, Top 200 deep learning Github repositories sorted by the number of stars.
User: mbadry1
convolutional-neural-networks,Best Practices, code samples, and documentation for Computer Vision.
Organization: microsoft
convolutional-neural-networks,PyTorch implementation of the U-Net for image semantic segmentation with high quality images
User: milesial
convolutional-neural-networks,Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
User: mpatacchiola
convolutional-neural-networks,A best practice for tensorflow project template architecture.
User: mrgemy95
convolutional-neural-networks,Udacity Self-Driving Car Engineer Nanodegree projects.
User: ndrplz
convolutional-neural-networks,This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
User: nelsonzhao
Home Page: https://zhuanlan.zhihu.com/zhaoyeyu
convolutional-neural-networks,Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Organization: nvidia
Home Page: https://nvidia.github.io/MinkowskiEngine
convolutional-neural-networks,Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
User: ozan-oktay
convolutional-neural-networks,[ICCV 2017] Torch code for Grad-CAM
User: ramprs
Home Page: https://arxiv.org/abs/1610.02391
convolutional-neural-networks,Convolutional Neural Network for 3D meshes in PyTorch
User: ranahanocka
convolutional-neural-networks,Techniques for deep learning with satellite & aerial imagery
Organization: satellite-image-deep-learning
convolutional-neural-networks,Code examples for new APIs of iOS 10.
User: shu223
convolutional-neural-networks,TensorFlow Tutorials
User: sjchoi86
convolutional-neural-networks,An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
User: symisc
Home Page: https://sod.pixlab.io
convolutional-neural-networks,A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
User: tarrysingh
Home Page: https://deepkapha.ai
convolutional-neural-networks,Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
User: thtrieu
convolutional-neural-networks,Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
Organization: xmartlabs
Home Page: https://xmartlabs.github.io/Bender/
convolutional-neural-networks,Keras implementation of a CNN network for age and gender estimation
User: yu4u
convolutional-neural-networks,A MNIST-like fashion product database. Benchmark :point_down:
Organization: zalandoresearch
Home Page: http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/
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