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30 search results found

Transfer_learning_music ⭐ 204

Transfer learning for music classification and regression tasks

Chainer Handson ⭐ 85

CAUTION: This is not maintained anymore. Visit https://github.com/chainer-community/chainer-colab

Keras Sequential Ascii ⭐ 84

ASCII summary for simple sequential models in Keras

A 1D analogue of the MNIST dataset for measuring spatial biases and answering "science of deep learning" questions.

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

Svhn Multi Digit ⭐ 50

Eegclassificationmcnn ⭐ 46

Solution for EEG Classification via Multiscale Convolutional Net coded for NeuroHack at Yandex.

Deep Vessel ⭐ 45

Multi Label Text Classification ⭐ 39

Mutli-label text classification using ConvNet and graph embedding (Tensorflow implementation)

Understanding Deep Convolutional Neural Networks With A Practical Use Case In Tensorflow And Keras ⭐ 36

What makes convnets so powerful at image classification?

Audio Classifier Convnet ⭐ 31

Visualising Image Classification Models And Saliency Maps ⭐ 24

Chainer Notebooks ⭐ 21

Jupyter notebooks for Chainer hands-on

Keras_deepdream ⭐ 20

Deepdream experiment implemented using Keras and VGG19 convnet

Deepdream ⭐ 17

Generative deep learning: DeepDream

Modu Tensorflow ⭐ 15

Understanding Cnn ⭐ 13

Exploration of convnet filters to understand how convolutional neural networks see the world

Neural_networks_for_computer_vision ⭐ 13

Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project

Deep Learning ⭐ 12

Deep Learning, course @ Télécom ParisTech

Under_convnet ⭐ 10

Caffe code for the paper "Adversarial Manipulation of Deep Representations"

Am207 Nilm Project ⭐ 9

Repo for am207 final project

Cats Vs Dogs Cnn Keras ⭐ 9

The famous Cats-vs-Dogs dataset. I have used a self laid ConvNet to classify the image into 2 classes either a Dog or a Cat. The images used are of 100*100 pixels each. The images are first converted to the numpy array of pixel values using the python ZipFile module. The images are then divided into the training ,cross-validation,testing set containing 20000 , 5000 , 12500 images respectively. Also I have used data augmentation technique to avoid chances of overfitting the model. Finally I achie

Cs231n Assignment ⭐ 9

The assignment for cs231n course

Nz_convnet ⭐ 9

A U-net based ConvNet for NZ imagery to classify building outlines.

Adversarial Perturbations On Images And Videos ⭐ 8

Code and data from the paper "Targeted Nonlinear Adversarial Perturbations in Images and Videos".

Quantum Optical Convnet ⭐ 7

A repository for the 10th Grade Research Project Constructing a Quantum Optical Convolutional Neural Network (QOCNN) and providing scripts that evaluate future feasibility.

Hi Convnets ⭐ 7

Estimating galaxy gas mass fractions using SDSS imaging

Keras Gates Vs Bezos Image Classifier ⭐ 6

Hours of step by step training using keras to do image classification using convnets from scratch, transfer learning and fine tuning. We also review visual similarity strategies and handle 2 use cases: Jeff Bezos vs Bill Gates, then Border Collie vs Yellow Lab. Not an academic treatise, just hands on fun and really good explanations about how to get productive real fast!

Sentiment Analysis In Amazon Reviews ⭐ 6

Sentiment analysis in Amazon reviews for Data Mining course.

Test Projects ⭐ 6

Most of my projects are here.

Kmc_cvprw_2017 ⭐ 5

This is the repository for the CVPR deep vision workshop paper "Kernalised Multi-resolution Convnet for Visual Tracking"

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