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

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kotlin machine-learning neural-network natural-language-processing artificial-intelligence recurrent-neural-networks attention-mechanism

Emnist

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

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python python3 tensorflow keras flask convolutional-neural-networks learning recurrent-neural-networks mnist

Ai Reading Materials

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

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python deep-learning machine-learning neural-network artificial-intelligence reinforcement-learning lstm ocr paper face-detection face-recognition recurrent-neural-networks bots prediction mit

Gru Svm

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

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python machine-learning tensorflow artificial-intelligence classification rnn recurrent-neural-networks svm artificial-neural-networks supervised-learning intrusion-detection gru

Keras Sru

Implementation of Simple Recurrent Unit in Keras

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python keras recurrent-neural-networks

Qrnn

Quasi-recurrent Neural Networks for Keras

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python deep-learning keras recurrent-neural-networks

Codegan

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks

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python deep-learning paper rnn recurrent-neural-networks policy-gradient

Recurrent Environment Simulators

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

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python tensorflow neural-network reinforcement-learning convolutional-neural-networks recurrent-neural-networks deepmind

Rnn Trajmodel

The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

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python deep-learning deep-neural-networks recurrent-neural-networks

Keras Tcn

Keras Temporal Convolutional Network.

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python deep-learning machine-learning keras recurrent-neural-networks

3d Reconstruction With Neural Networks

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

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python deep-learning tensorflow computer-vision neural-network convolutional-neural-networks ml recurrent-neural-networks 3d-reconstruction voxel

Lstm Ctc Ocr

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

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lua lstm ocr recurrent-neural-networks ctc

Torch Ac

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

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python pytorch reinforcement-learning deep-reinforcement-learning recurrent-neural-networks ppo actor-critic a3c

Bitcoin Price Prediction Using Lstm

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

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jupyter-notebook deep-learning tensorflow keras deep-neural-networks lstm rnn recurrent-neural-networks deep-learning-tutorial lstm-neural-networks series time-series-analysis

Deep Plant

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.

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python deep-learning convolutional-neural-networks recurrent-neural-networks

Dogtorch

Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf

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python computer-vision recurrent-neural-networks representation-learning imitation-learning

Chicksexer

A Python package for gender classification.

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python deep-learning machine-learning tensorflow nlp data-science neural-network natural-language-processing lstm recurrent-neural-networks

Rcnn Relation Extraction

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

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python tensorflow convolutional-neural-networks recurrent-neural-networks relation-extraction rcnn

Predrnn Pytorch

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

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python recurrent-neural-networks

Gdax Orderbook Ml

Application of machine learning to the Coinbase (GDAX) orderbook

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jupyter-notebook machine-learning tensorflow keras bitcoin deep-neural-networks cuda lstm trading recurrent-neural-networks quantitative-finance quantitative-trading coinbase gru gdax

Sentiment Analysis Nltk Ml Lstm

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

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python jupyter-notebook keras lstm sentiment-analysis recurrent-neural-networks nltk

Simplehtr

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

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python deep-learning machine-learning tensorflow ocr recurrent-neural-networks

Image Captioning

Image Captioning: Implementing the Neural Image Caption Generator with python

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python deep-learning machine-learning computer-vision convolutional-neural-networks lstm recurrent-neural-networks convolutional-networks lstm-neural-networks image-captioning

Tensorflow Lstm Sin

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

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python tensorflow neural-network lstm recurrent-neural-networks timeseries prediction experiment gru

Deepseqslam

The Official Deep Learning Framework for Route-based Place Recognition

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python deep-learning computer-vision deep-neural-networks convolutional-neural-networks cnn robotics lstm navigation rnn recurrent-neural-networks slam autonomous-driving

Tensorflow Cnn Time Series

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

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python tensorflow keras convolutional-neural-networks cnn time-series recurrent-neural-networks

Ml In Tf

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

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python machine-learning tensorflow reinforcement-learning convolutional-neural-networks neural-networks deep-reinforcement-learning recurrent-neural-networks dqn mnist deepmind

Sangita

A Natural Language Toolkit for Indian Languages

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python deep-learning machine-learning natural-language-processing deep-neural-networks lstm recurrent-neural-networks

Predicting Myers Briggs Type Indicator With Recurrent Neural Networks

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python machine-learning nlp keras classification rnn recurrent-neural-networks nlp-machine-learning social-media predictive-modeling tf-idf

Char Rnn Keras

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

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python tensorflow keras lstm recurrent-neural-networks

Rnn Vae

Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"

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python recurrent-neural-networks autoencoder image-generation draw variational-inference

Reinvent Randomized

Recurrent Neural Network using randomized SMILES strings to generate molecules

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python machine-learning recurrent-neural-networks

Textclassifier

Text classifier for Hierarchical Attention Networks for Document Classification

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python convolutional-neural-networks text-classification recurrent-neural-networks attention-mechanism

Reading comprehension tf

Machine Reading Comprehension in Tensorflow

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python deep-learning machine-learning natural-language-processing artificial-intelligence convolutional-neural-networks recurrent-neural-networks natural-language-understanding attention-model squad

Flynet

Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324

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python neural-networks recurrent-neural-networks

Sibyl

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

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deep-learning machine-learning trading recurrent-neural-networks simulator algorithmic-trading stock-market backtest

Recurrent Scene Parsing With Perspective Understanding In The Loop

parsing scene images with understanding geometric perspective in the loop

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matlab deep-learning semantic-segmentation recurrent-neural-networks geometry

Lstmvis

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

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jupyter-notebook visualization neural-network lstm recurrent-neural-networks

Theano Kaldi Rnn

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.

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perl deep-learning deep-neural-networks rnn recurrent-neural-networks theano kaldi gru

Price prediction lob

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

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python convolutional-neural-networks recurrent-neural-networks

Rnn Based Bitcoin Value Predictor

A Recurrent Neural Network to predict Bitcoin value

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python bitcoin recurrent-neural-networks

Named Entity Recognition

name entity recognition with recurrent neural network(RNN) in tensorflow

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python tensorflow natural-language-processing recurrent-neural-networks named-entity-recognition

Udacity Deep Learning Nanodegree

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

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jupyter-notebook deep-learning reinforcement-learning neural-networks generative-adversarial-network recurrent-neural-networks image-recognition supervised-learning

Rnn lstm gesture recog

For recognising hand gestures using RNN and LSTM... Implementation in TensorFlow

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python tensorflow recurrent-neural-networks lstm-neural-networks

Pytorch Rdpg

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

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python pytorch deep-reinforcement-learning recurrent-neural-networks

Zoneout Tensorflow

An implementation of zoneout regularizer on LSTM-RNN by Tensorflow

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python tensorflow deep-neural-networks recurrent-neural-networks

Chainer Rnn Ner

Named Entity Recognition with RNN, implemented by Chainer

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python lstm recurrent-neural-networks chainer

Deep Learning Time Series

List of papers, code and experiments using deep learning for time series forecasting

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python3 jupyter-notebook deep-learning pytorch tensorflow deep-neural-networks lstm time-series recurrent-neural-networks prediction lstm-neural-networks

Machine Learning Curriculum

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

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python deep-learning machine-learning pytorch tensorflow reinforcement-learning convolutional-neural-networks caffe guide recurrent-neural-networks course mxnet torch theano chainer curriculum

Tensorflow Tutorial

TensorFlow and Deep Learning Tutorials

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deep-learning machine-learning tensorflow nlp keras neural-network reinforcement-learning convolutional-neural-networks neural-networks cnn deep-reinforcement-learning recurrent-neural-networks notebook tensorflow-tutorials autoencoder deep-learning-tutorial neural-machine-translation tensorlayer

Keras Attention

Visualizing RNNs using the attention mechanism

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python deep-learning machine-learning natural-language-processing deep-neural-networks translation recurrent-neural-networks attention-mechanism

Parrot

RNN-based generative models for speech.

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python deep-learning recurrent-neural-networks speech-synthesis theano

Rwa

Machine Learning on Sequential Data Using a Recurrent Weighted Average

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python time-series research recurrent-neural-networks

Tensorflow Vae Gan Draw

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

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python tensorflow gan recurrent-neural-networks vae draw

Deep Trading Agent

Deep Reinforcement Learning based Trading Agent for Bitcoin

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python artificial-intelligence bitcoin trading deep-reinforcement-learning recurrent-neural-networks agent deep-q-network

61-120 of 233 recurrent-neural-networks projects

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