1847 Open source projects that are alternatives of or similar to Ailearning

RNN-LSTM that learns passwords from a starting list

Hands-on in-person workshop for Deep Learning with TensorFlow

Chatbot in 200 lines of code using TensorLayer

Boosted trees in Julia

A Python package for fitting Quinlan's Cubist regression model

LSTM based human activity recognition using smart phone sensor dataset

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

🐵 An AI chess-board-game framework(by many programming languages) implementations.

LIBSVM bindings for Julia

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

Interactive Visual Machine Learning Demos.

Migrated to: https://gitlab.com/Oslandia/osm-data-classification

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

Forecasting Solar Power: Analysis of using a LSTM Neural Network

Train LSTM to writer novel (HongLouMeng here) in Pytorch.

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

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

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

rnn trained on r/totallynotrobots 🤖

an tutorial implement of voice conversion using pytorch

Python code for common Machine Learning Algorithms

Simple machine learning library / 簡單易用的機器學習套件

This repository is a recommended track, designed to get started with Machine Learning.

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

Python Machine Learning Algorithms

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

SciKIt-learn Pipeline in PAndas

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

An easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.

Hybrid Code Networks https://arxiv.org/abs/1702.03274

Neural networks library for machine learning on PHP

Docker Start Guide with Python Development Environment

Lightweight C++11 library for building deep recurrent neural networks

A fast, robust Python library to check for offensive language in strings.

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

An implementation of multivariate projection pursuit regression and univariate classification

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

Multiple implementations for abstractive text summurization , using google colab

中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！

RMDL: Random Multimodel Deep Learning for Classification

Keras tutorial for beginners (using TF backend)

custom human activity recognition modules by pose estimation and cascaded inference using sklearn API

H2Oai GPU Edition

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

Predict Cryptocurrency Price with Deep Learning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.