6862 Open source projects that are alternatives of or similar to Convisualize_nb

Deep learning codes and projects using Python

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

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

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

TensorFlow and Deep Learning Tutorials

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

CNN image classifier implemented in Keras Notebook 🖼️.

Convolutional Neural Network for Human Activity Recognition in Tensorflow

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

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.

SincNet is a neural architecture for efficiently processing raw audio samples.

A High-Quality Real Time Upscaler for Anime Video

food image to recipe with deep convolutional neural networks.

Datasets, tools, and benchmarks for representation learning of code.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

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

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

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

PyTorch tutorial for learners

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

Object classification with CIFAR-10 using transfer learning

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Keras tutorial for beginners (using TF backend)

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

CNN image style transfer 🎨.

Music recommender using deep learning with Keras and TensorFlow

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

CNN visualization tool in TensorFlow

Implementation of Quickdraw - an online game developed by Google

High-efficiency floating-point neural network inference operators for mobile, server, and Web

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Some interesting TensorFlow tutorials for beginners.

Skin cancer classification using Inceptionv3

Build an OCR for iOS apps

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

Next RecSys Library

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Daily Dose of Neural Network that Everyone Needs

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Text classification models. Used a submodule for other projects.

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

Repo for Tang et al, bioRxiv 454793 (2018)

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Exploratory Project on Fast Screen Space Global Illumination

🎨 Artistic neural style transfer with tweaks (pytorch).

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

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

Implementation of Neural Image Captioning model using Keras with Theano backend

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

Code for Tensorflow Machine Learning Cookbook

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

Aspect-Based Sentiment Analysis

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

QA - Answer Selection (Rank candidate answers for a given question)

Solution to Kaggle - Web Traffic Time Series Forecasting