542 Open source projects that are alternatives of or similar to Feel The Kern

Collection of iris classifcation program for teaching purpose

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Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

Deep Convolutional Neural Networks for Musical Source Separation

Documentation:

Implementation of a hierarchical CNN based model to detect Big Five personality traits

A deep generative model library in Theano and Lasagne

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

Code examples for training AlexNet using Keras and Theano

Convolutional AutoEncoder application on MRI images

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

Setup and customize deep learning environment in seconds.

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"

A deep neural network for face alignment

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

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

Handwritten Digit Recognition using Machine Learning and Deep Learning

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

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Periodic Spatial Generative Adversarial Networks

RNN benchmarks of pytorch, tensorflow and theano

Deep Reinforcement Learning library for humans

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DL course co-developed by YSDA, HSE and Skoltech

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🎨 A CNN visualizer

Binary Convolution Network for faster real-time processing in ASICs

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

Examples trained using the python pytorch package pro-gan-pth

Switchable Normalization for semantic image segmentation and scene parsing.

Text classifier for Hierarchical Attention Networks for Document Classification

Machine Reading Comprehension in Tensorflow

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]

EEG Sleep stage classification using CNN with Keras

Convolutional Neural Network for 3D meshes in PyTorch

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.

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

TensorFlow Implementation of state-of-the-art models since 2012

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

Image Captioning: Implementing the Neural Image Caption Generator with python

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area

YOLO: Real-Time Object Detection using Tensorflow and easy to use

This repository is for my article "Tutorial: Build a lane detector" published on Medium.

Rare pupper image compression model for word-embedding-esque operations.

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

Depth estimation with neural network, and learning on RGBD images

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

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

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

Deep learning for price movement prediction using high frequency limit order data

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

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.