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

ECG classification programs based on ML/DL methods

TensorFlow Tutorials

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

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

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Top 200 deep learning Github repositories sorted by the number of stars.

Text Classification Algorithms: A Survey

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Implementation of State-of-the-art Text Classification Models in Pytorch

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

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

Image Captioning: Implementing the Neural Image Caption Generator with python

A curated list of dedicated resources and applications

PyTorch tutorial for learners

Text classifier for Hierarchical Attention Networks for Document Classification

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

Biologically-realistic recurrent convolutional neural networks

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

Anomaly detection implemented in Keras

RMDL: Random Multimodel Deep Learning for Classification

TensorFlow and Deep Learning Tutorials

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

The Official Deep Learning Framework for Route-based Place Recognition

VIP cheatsheets for Stanford's CS 230 Deep Learning

Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.

Simple and comprehensive tutorials in TensorFlow

Machine Reading Comprehension in Tensorflow

3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)

A Neural Networking library based on NumPy only

This is an open sourced book on deep learning.

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

HDLTex: Hierarchical Deep Learning for Text Classification

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Deep learning codes and projects using Python

keras project that parses and analyze english resumes

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Deep-Learning Model Exploration and Development for NLP

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

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

videos, lectures, blogs for Deep Learning

SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks

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

CMU's OpenPose for ROS

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

A convolutional neural network for graph classification in PyTorch

Easy Handling Discrete Time Markov Chains

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

Xilinx Deep Learning IP

Super Resolution of picture images using deep learning

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

Tools for tracking changes in Markdown format within RStudio

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

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