308 Open source projects that are alternatives of or similar to name2gender

Fantasy name generator in TensorFlow

中国古诗生成（文本生成）

Text Classification of Nepali Language Document. This Mini Project was done for the partial fulfillment of NLP Course : COMP 473.

Online Handwriting Signature Verification using CNN + RNN.

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

Chatto is a minimal chatbot framework in Go.

A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.

Naive Bayes Classifier in Swift for Mac and iOS

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

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

100 Days of ML Coding

Natural Language Processing with TensorFlow, published by Packt

No description or website provided.

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).

Large Data Analysis Course Project

Training charRNN model for ml5js

An evaluation of word-embeddings for classification

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

Deep learning driven jazz generation using Keras & Theano!

Crossfit WOD generator using recurrent neural networks (LSTM), implemented in Tensorflow

Nested LSTM Cell

📓 Notes for Andrew Ng's courses on deep learning

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

TensorFlow Implementation of TCN (Temporal Convolutional Networks)

A speech denoise lv2 plugin based on RNNoise library

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

Machine Learning models from scratch with a better visualisation

RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano

Twitter Mining in Java

Alternative approach for Adaptive Computation Time in TensorFlow

Data Mining algorithms for IDMW632C course at IIIT Allahabad, 6th semester

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.

Gaussian Naive Bayes (GaussianNB) classifier

medium.com/@jctestud/yet-another-text-generation-project-5cfb59b26255

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

机器学习、深度学习、NLP实战项目

Naive Bayes classifier for use in Lua

Using a Naive Bayes Classifier gets possible diseases from symptoms

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

Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks

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.

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

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

naive bayes in php

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

Uses RNN on the Nietzsche dataset

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

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

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

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

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

Python code for common Machine Learning Algorithms

Reasoning Over Knowledge Graph Paths for Recommendation

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

Haste: a fast, simple, and open RNN library

Naive Bayes Classification used to classify movie reviews as positive or negative

RNN based Forecasting App for Meta Trader and similar trading platforms

Candidate solution for Facebook's fake news problem using machine learning and crowd-sourcing. Takes form of a Chrome extension. Developed in under 24 hours at 2017 Crimson Code hackathon at Washington State University.

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