285 Open source projects that are alternatives of or similar to Rep-Counter

In these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.

A siamese LSTM to detect sentence/question pairs.

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

Generating Pokemon cards using a mixture of StyleGAN and RNN to create beautiful & vibrant cards ready for battle!

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained

An experimental web text editor that runs a LSTM model while you write to suggest new lines

RNN based Forecasting App for Meta Trader and similar trading platforms

🧠👨‍💻Deep Learning Specialization • Lecture Notes • Lab Assignments

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

Project 4 for Metis bootcamp. Objective was generation of character-level RNN trained on Donald Trump's statements using Keras. Also generated Markov chains, and quick pyTorch RNN as baseline. Attempted semi-supervised GAN, but was unable to test in time.

Fantasy name generator in TensorFlow

Online Handwriting Signature Verification using CNN + RNN.

My solutions to the projects assigned for the Udacity Computer Vision Nanodegree

Deep learning driven jazz generation using Keras & Theano!

Collection of custom layers and utility functions for Keras which are missing in the main framework.

Nested LSTM Cell

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Training charRNN model for ml5js

Natural Language Processing with TensorFlow, published by Packt

A speech denoise lv2 plugin based on RNNoise library

The implementation of LSTM in TensorFlow used for the stock prediction.

Uses RNN on the Nietzsche dataset

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

This is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening from customers to predict market Trend On Dow Jones Industrial Average (DJIA).

This repository is a reproduction of the clockwork RNN paper.

机器学习、深度学习、NLP实战项目

Implementation of a LSTM with TensorFlow and distributed on Apache Spark

Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks

Extrapolate gender from first names using Naïve-Bayes and PyTorch Char-RNN

📓 Notes for Andrew Ng's courses on deep learning

LSTM based human activity recognition using smart phone sensor dataset

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

A package to structure Australian addresses

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Edge TPU Accelerator / Multi-TPU / Multi-Model + Posenet/DeeplabV3/MobileNet-SSD + Python + Sync / Async + LaptopPC / RaspberryPi

Efficient, transparent deep learning in hundreds of lines of code.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Alternative approach for Adaptive Computation Time in TensorFlow

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

Generating image captions using Xception Network and Beam Search in Keras

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

Generalised and highly customisable, hybrid-parallelism, database based, deep learning framework.

Reasoning Over Knowledge Graph Paths for Recommendation

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Haste: a fast, simple, and open RNN library

TensorFlow Implementation of TCN (Temporal Convolutional Networks)

Deep learning for Arabic text Vocalization - التشكيل الالي للنصوص العربية

Hierarchical Attention Networks for Chinese Sentiment Classification

Tutorial: Multi-layer Recurrent Neural Networks (LSTM, RNN) for text models in Python using TensorFlow.

Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

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

Char RNN Language Model based on Tensorflow