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Top 709 convolutional-neural-networks open source projects

Artificial Intelligence Deep Learning Machine Learning Tutorials
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.
Chexnet Keras
This project is a tool to build CheXNet-like models, written in Keras.
Cnn face detection
Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR
Stanford Cs231
Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).
Panotti
A multi-channel neural network audio classifier using Keras
Torchfusion
A modern deep learning framework built to accelerate research and development of AI systems
Pyconv
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Triplet Attention
Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
Master Thesis Bayesiancnn
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
Xsum
Topic-Aware Convolutional Neural Networks for Extreme Summarization
Deep Alignment Network A Convolutional Neural Network For Robust Face Alignment
This is a Tensorflow implementations of paper "Deep Alignment Network: A convolutional neural network for robust face alignment".
3dmmasstn
MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)
Grad cam plus plus
A generalized gradient-based CNN visualization technique
Tfwss
Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
Im2latex Tensorflow
Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)
Cnn From Scratch
A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset
Metalimage
MetalImage is more faster and powerful than opengles for iOS. It is very similar to GPUImage framework, but perform a better 3D rendering and multithreads computing abilities.
Mobilenet V2
A Complete and Simple Implementation of MobileNet-V2 in PyTorch
Graph Cnn In 3d Point Cloud Classification
Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
Deep Mri Reconstruction
Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
Neurite
Neural networks toolbox focused on medical image analysis
Cnn Relation Extraction
Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)
Iseebetter
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
Traffic Sign Detection
Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
Miscnn
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Person Detection And Tracking
A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking
Coursera Deep Learning Specialization
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
Affnet
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
Depression Detect
Predicting depression from acoustic features of speech using a Convolutional Neural Network.
Bilinear Cnn Tensorflow
This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.
Gnina
A deep learning framework for molecular docking
Seriesnet
Time series prediction using dilated causal convolutional neural nets (temporal CNN)
Pytorch Vae
A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
Vidaug
Effective Video Augmentation Techniques for Training Convolutional Neural Networks
Osmdeepod
OSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "OSM-Crosswalk-Detection").
Machine Learning Is All You Need
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Cnn Svm
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
Neural Photo Editor
A simple interface for editing natural photos with generative neural networks.
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