6273 Open source projects that are alternatives of or similar to Cs231n Convolutional Neural Networks Solutions

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

Repo for Tang et al, bioRxiv 454793 (2018)

Detecting cinema shot types using a ResNet-50

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

food image to recipe with deep convolutional neural networks.

Code examples for training AlexNet using Keras and Theano

This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

Binary Convolution Network for faster real-time processing in ASICs

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Convolutional neural networks for artistic style transfer.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Keras tutorial for beginners (using TF backend)

Evaluation of the CNN design choices performance on ImageNet-2012.

Skin cancer classification using Inceptionv3

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

Music recommender using deep learning with Keras and TensorFlow

This toolbox is support material for the book on CNN (http://www.convolution.network).

Best Practices, code samples, and documentation for Computer Vision.

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

Generating Captions for images using Deep Learning

Breast Cancer Classification using CNN and transfer learning

Keras- Multi Label Image Classification

PyTorch tutorial for learners

Repository for most of the code from my YouTube channel

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Convolutional Neural Network for Human Activity Recognition in Tensorflow

Vehicle detection using YOLO in Keras runs at 21FPS

Efficient Learning of Augmentation Policy Schedules

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.

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Build an OCR for iOS apps

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

Exploratory Project on Fast Screen Space Global Illumination

Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

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

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"

Visualisations for Convolutional Neural Networks in Pytorch

CNN 1D vs 2D audio classification

Keras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"

Keras implementation of a CNN network for age and gender estimation

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Reducing the size of convolutional neural networks

Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399

tensorflow implementation of Grad-CAM (CNN visualization)

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Image Tampering Detection using ELA and CNN

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal