6319 Open source projects that are alternatives of or similar to Deep_learning_notes

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

A journey into Convolutional Neural Network visualization

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

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.

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

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

IEEE "Invited Talk on Deep Learning" 03/02/2018

Notes and experiments to understand deep learning concepts

CNN 1D vs 2D audio classification

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

📢 Ready to learn or review your knowledge!

deeplearning.ai , By Andrew Ng, All video link

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Build an OCR for iOS apps

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

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

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

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

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

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"

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

PyTorch tutorial for learners

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

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

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

Music recommender using deep learning with Keras and TensorFlow

Skin cancer classification using Inceptionv3

TensorFlow and Deep Learning Tutorials

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

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

Repo for Tang et al, bioRxiv 454793 (2018)

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

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

Exploratory Project on Fast Screen Space Global Illumination

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

The implementation of Relativistic average GAN with Keras

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

Visualisations for Convolutional Neural Networks in Pytorch

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

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

Binary Convolution Network for faster real-time processing in ASICs

The deeplearning algorithms implemented by tensorflow

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

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

Reducing the size of convolutional neural networks

Breast Cancer Classification using CNN and transfer learning

Image Tampering Detection using ELA and CNN

Generating Captions for images using Deep Learning

Detecting cinema shot types using a ResNet-50

food image to recipe with deep convolutional neural networks.

Efficient Learning of Augmentation Policy Schedules

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

Keras implementation of a CNN network for age and gender estimation

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