1026 Open source projects that are alternatives of or similar to Kerasr

R package for developing and running Spatial Discrete Event Simulation models

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

Some of the ML and DL related reading materials, research papers that I've read

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

R Wrapper for Google's Compact Language Detector 2

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Breast Cancer Classification using CNN and transfer learning

Recognizes the facial emotion and overlays emoji, equivalent to the emotion, on the persons face.

Functions to Automate Downloading Geospatial Data Available from Several Federated Data Sources

An Example of Using Literate Programming for R Package Development

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

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

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

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Tools for tracking changes in Markdown format within RStudio

A brand logo detection system using tensorflow object detection API.

Platform for backtesting and live-trading intraday Stock/ETF/ELW using recurrent neural networks

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

Speech Recognition model based off of FAIR research paper built using Pytorch.

Vehicle detection using YOLO in Keras runs at 21FPS

A collection of Poisson lognormal models for multivariate count data analysis

Automate Data Exploration and Treatment

A tensorflow implementation for EEGLearn

Magic, madness, heaven, sin

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.

Thematic Cartography for R

Generating Captions for images using Deep Learning

Assertive programming for R analysis pipelines

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

Sustainable transport planning with R

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Text Extraction, Rendering and Converting of PDF Documents

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

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Projection predictive variable selection

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

Application of machine learning to the Coinbase (GDAX) orderbook

A Recurrent Neural Network to predict Bitcoin value

Head pose estimation by TensorFlow and OpenCV

Code examples for new APIs of iOS 10.

get landsat 8 images and metadata

Visualizing RNNs using the attention mechanism

Unofficial PyTorch Reimplementation of RandAugment.

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

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

CNN accelerator

PSPNet in Chainer

🔈 Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

Switchable Normalization for semantic image segmentation and scene parsing.

船长关于机器学习、计算机视觉和工程技术的总结和分享

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

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

Fine-tune pretrained Convolutional Neural Networks with PyTorch

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

Unity Post Processing with Convolution Neural Network