6453 Open source projects that are alternatives of or similar to Alexnet Experiments Keras

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

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

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

Binary Convolution Network for faster real-time processing in ASICs

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

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

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

Materials for the course of machine learning at Imperial College organized by Yandex SDA

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Periodic Spatial Generative Adversarial Networks

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

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

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

Simple TF IDF Library

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

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

DL course co-developed by YSDA, HSE and Skoltech

3-day dive into deep learning at csc

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

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

📢 Ready to learn or review your knowledge!

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Reducing the size of convolutional neural networks

Detecting cinema shot types using a ResNet-50

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Automatic extraction of relevant features from time series:

中文 Python 笔记

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

Build an OCR for iOS apps

Skin cancer classification using Inceptionv3

Exploratory Project on Fast Screen Space Global Illumination

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

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Sets up a VM with Keras, TensorFlow, TFLearn and Theano installed

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

Repo for Tang et al, bioRxiv 454793 (2018)

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.

PyTorch tutorial for learners

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

Music recommender using deep learning with Keras and TensorFlow

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Generating proportional fonts with deep learning

CNN 1D vs 2D audio classification

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"

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

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

Keras implementation of a CNN network for age and gender estimation

Visualisations for Convolutional Neural Networks in Pytorch

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Breast Cancer Classification using CNN and transfer learning

Image Tampering Detection using ELA and CNN

Generating Captions for images using Deep Learning

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

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

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

Deep Learning: Image classification, feature visualization and transfer learning with Keras

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

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