#Convolutional-neural-networks
Showing 60 of 422 repositories tagged #convolutional-neural-networks, ranked by stars
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
A MNIST-like fashion product database. Benchmark :point_down:
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Techniques for deep learning with satellite & aerial imagery
Best Practices, code samples, and documentation for Computer Vision.
all kinds of text classification models and more with deep learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
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.
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
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
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.
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
A best practice for tensorflow project template architecture.
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.
Code examples for new APIs of iOS 10.
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
PyTorch implementation of Super SloMo by Jiang et al.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Udacity Self-Driving Car Engineer Nanodegree projects.
Simple and comprehensive tutorials in TensorFlow
Image Deblurring using Generative Adversarial Networks
Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
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.
High-efficiency floating-point neural network inference operators for mobile, server, and Web
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
A simple interface for editing natural photos with generative neural networks.
Text Classification Algorithms: A Survey
An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
Interactive convnet features visualization for Keras
Top 200 deep learning Github repositories sorted by the number of stars.
Convolutional Neural Network for 3D meshes in PyTorch
Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
pip install antialiased-cnns to improve stability and accuracy
Deep Learning for Time Series Classification
[ICCV 2017] Torch code for Grad-CAM
Official Implementation of 'Fast AutoAugment' in PyTorch.
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
A large-scale dataset of both raw MRI measurements and clinical MRI images.
Keras implementation of a CNN network for age and gender estimation
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
A curated list of Best Artificial Intelligence Resources
Deep Learning in Haskell
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Realtime human head pose estimation with ONNXRuntime and OpenCV.
船长关于机器学习、计算机视觉和工程技术的总结和分享
SincNet is a neural architecture for efficiently processing raw audio samples.
Real time emotion recognition
FeatherCNN is a high performance inference engine for convolutional neural networks.
Corruption and Perturbation Robustness (ICLR 2019)
:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
[CVPR 2024 & TPAMI 2025] UniRepLKNet
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/