Top 803 convolutional-neural-networks open source projects

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.

This project is a tool to build CheXNet-like models, written in Keras.

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

A curated list of dedicated resources and applications

Medical image registration using deep learning

A multi-channel neural network audio classifier using Keras

A modern deep learning framework built to accelerate research and development of AI systems

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

Deep-Learning Model Exploration and Development for NLP

CNN for Chinese Text Classification in Tensorflow

PyTorch implementation of Super SloMo by Jiang et al.

TensorFlow Tutorials

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Topic-Aware Convolutional Neural Networks for Extreme Summarization

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

This is a Tensorflow implementations of paper "Deep Alignment Network: A convolutional neural network for robust face alignment".

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

A generalized gradient-based CNN visualization technique

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).

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Simplify the training and tuning of Tensorflow models

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

CNN image style transfer 🎨.

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.

A Complete and Simple Implementation of MobileNet-V2 in PyTorch

Supervised Semantics-preserving Deep Hashing (TPAMI18)

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

Neural networks toolbox focused on medical image analysis

Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)

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

Build a CNN network to predict 3D bounding box of car from 2D image.

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

3D image classification using CNN (Convolutional Neural Network)

Deep learning codes and projects using Python

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

keras project that parses and analyze english resumes

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

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

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

HDLTex: Hierarchical Deep Learning for Text Classification

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

A High-Quality Real Time Upscaler for Anime Video

A deep learning framework for molecular docking

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

papers on scalable and efficient machine learning systems

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Naszilla is a Python library for neural architecture search (NAS)

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

OSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "OSM-Crosswalk-Detection").

🔥🌟《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!

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

A specially designed light version of Fast AutoAugment

A simple interface for editing natural photos with generative neural networks.