Top 803 convolutional-neural-networks open source projects

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

SalGAN: Visual Saliency Prediction with Generative Adversarial 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.

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.

[UNMAINTAINED] 非监督特征学习与深度学习中文教程，该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程，该门课程在网易云课堂上也有一个配有中文字幕的版本。

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS

A modern PyTorch implementation of SRGAN

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Multi-view CNN (MVCNN) for shape recognition

Outdated, see new https://github.com/braindecode/braindecode

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

A image registration method using convolutional neural network features.

Simple and comprehensive tutorials in TensorFlow

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

Velocity in deep-learning research

tensorflow implementation of Grad-CAM (CNN visualization)

Keras implementation of Non-local Neural Networks

Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow

Machine learning algorithms for many-body quantum systems

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Convolutional Neural Network for Text Classification in Keras

Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations

A minimalist Deep Learning framework for embedded Computer Vision

No description or website provided.

An unofficial implement of paper "Dense Scale Network for Crowd Counting", link: https://arxiv.org/abs/1906.09707

Hypercomplex Neural Networks with PyTorch

Real time face recognition with tracking (mtcnn detection, kcf tracker, arcface loss)

traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.

Experiments on CNN-based image enhancement in pytorch

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

Weakly supervised 3D classification of multi-disease chest CT scans using multi-resolution deep segmentation features via dual-stage CNN architecture (DenseVNet, 3D Residual U-Net).

Detect container ships in Planet imagery using machine learning

Visualizing where the Convolution Network is looking through CAM.

Neural Style implementation in PyTorch! 🎨

This repository contains code and writeups for projects and labs completed as a part of UDACITY's first of it's kind self driving car nanodegree program.

Kervolution Library in PyTorch (CVPR 2019 Oral)

[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

PyTorch implementation of "Universal Style Transfer via Feature Trasforms"

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

Keras Implementation of major CNN architectures

OpenTC is a text classification engine using several algorithms in machine learning

Facial-Expression-Recognition using tensorflow

Neural networks library for machine learning on PHP

Computer Vision & Deep Learning course materials

🔈 Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

Disease classification on different plants with using Machine Learning and Convolutional Neural Networks.

Buillt on top of ROS and donkeycar hardware

Sorting my messed folder where I put my holidays pictures was not fun. My computer made the trick for me with Deep Learning!

A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.

Invert the color of MNIST images with PyTorch

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Using Residual Attention Networks to diagnose retinal diseases in medical images

Use 3D convolutional network to predict the speed of a car via dashcam stream. The final mean squared error on validation set is 3.1 (mile/hour)^2.