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

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

Robust freeform surface modeling from user 2d sketches.

R package: tabr. Notation-based and tidy music data analysis and transcription.

An R package for storing and retrieving data.frames in git repositories.

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

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

Semantic segmentation on iPhone using ESPNetv2

My attempt at implementing CapsNet from the paper Dynamic Routing Between Capsules

ConvNets for Audio Recognition using Google Commands Dataset

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

CNN 1D vs 2D audio classification

Xilinx Deep Learning IP

A Python package for gender classification.

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

Tools for tracking changes in Markdown format within RStudio

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

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

R package to install system requirements

A tensorflow implementation for EEGLearn

Generating Captions for images using Deep Learning

R-based project management tools

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

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

Projection predictive variable selection

Accurate and robust imputation of scRNA-seq data

Application of machine learning to the Coinbase (GDAX) orderbook

R package for ZMQ

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

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

PSPNet in Chainer

Pytorch Implementation of "Deep Iterative Down-Up CNN for Image Denoising".

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Implementation of Simple Recurrent Unit in Keras

Vehicle make and model classification in Tensorflow by fine-tuning VGG16

FeatherCNN is a high performance inference engine for convolutional neural networks.

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

Generating proportional fonts with deep learning

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"

Reducing the size of convolutional neural networks

A version of eval for R that returns more information about what happened

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

A MNIST-like fashion product database. Benchmark 👇

Keras implementation of a CNN network for age and gender estimation

📰 Working with newspaper data from 'LexisNexis'

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

TSrepr: R package for time series representations

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

Development repository for the Bioconductor package 'mixOmics '

Neural machine translator for English2German translation.

The posterior R package

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

⛔ ARCHIVED ⛔ turf.js R client

Quasi-recurrent Neural Networks for Keras

Visualisations for Convolutional Neural Networks in Pytorch

Document DBI connector for R

Quantize weights and activations in Recurrent Neural Networks.

Tools for Spell Checking in R

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

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