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255 search results found

Tesseract ⭐ 56,096

Tesseract Open Source OCR Engine (main repository)

Easyocr ⭐ 20,438

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Numpy Ml ⭐ 14,162

Machine learning, in numpy

Screenshot To Code ⭐ 14,132

A neural network that transforms a design mock-up into a static website.

Deeplearning ⭐ 7,463

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

Machine Learning Collection ⭐ 6,173

A resource for learning about Machine learning & Deep Learning

Ml5 Library ⭐ 6,134

Friendly machine learning for the web! 🤖

Lstm Human Activity Recognition ⭐ 3,074

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

Deepjazz ⭐ 2,583

Deep learning driven jazz generation using Keras & Theano!

Tensorflow_template_application ⭐ 1,869

TensorFlow template application for deep learning

Spago ⭐ 1,691

Self-contained Machine Learning and Natural Language Processing library in Go

Awesome Deep Learning Resources ⭐ 1,638

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

Aialpha ⭐ 1,618

Use unsupervised and supervised learning to predict stocks

Nlp Models Tensorflow ⭐ 1,329

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Twitter Sentiment Analysis ⭐ 1,322

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Stockpriceprediction ⭐ 1,132

Stock Price Prediction using Machine Learning Techniques

Getting Things Done With Pytorch ⭐ 873

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Python_autocomplete ⭐ 762

A simple neural network for python autocompletion

Tensorflow Tutorial ⭐ 751

TensorFlow and Deep Learning Tutorials

Cryptocurrencyprediction ⭐ 715

Predict Cryptocurrency Price with Deep Learning

Actionai ⭐ 649

Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints

Nmt Keras ⭐ 514

Neural Machine Translation with Keras

Onnx2tf ⭐ 461

Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.

Stock Market Prediction Web App Using Machine Learning And Sentiment Analysis ⭐ 460

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation

Stock Price Prediction Lstm ⭐ 425

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Stock Prediction Deep Neural Learning ⭐ 385

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

Multimodal Speech Emotion Recognition ⭐ 337

Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)

Cryptocurrency Price Prediction ⭐ 337

Cryptocurrency Price Prediction Using LSTM neural network

Paraphrase Id Tensorflow ⭐ 321

Various models and code (Manhattan LSTM, Siamese LSTM + Matching Layer, BiMPM) for the paraphrase identification task, specifically with the Quora Question Pairs dataset.

Qa_match ⭐ 312

A simple effective ToolKit for short text matching

Thesemicolon ⭐ 312

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Theano_lstm ⭐ 309

🔬 Nano size Theano LSTM module

Haste: a fast, simple, and open RNN library

Scalecast ⭐ 292

The practitioner's forecasting library

Guitarlstm ⭐ 278

Deep learning models for guitar amp/pedal emulation using LSTM with Keras.

🥕 Evolutionary Neural Networks in JavaScript

Personality Detection ⭐ 273

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Rnnsharp ⭐ 272

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.

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

Deep Learning Specialization Coursera ⭐ 266

This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.

Load_forecasting ⭐ 260

Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

Stock Trading Ml ⭐ 238

A stock trading bot that uses machine learning to make price predictions.

Ntm One Shot Tf ⭐ 237

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

Ethnicolr ⭐ 218

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

Hg Mldl ⭐ 199

<혼자 공부하는 머신러닝+딥러닝>의 코드 저장소입니다.

Deep Learning With Python ⭐ 197

Deep learning codes and projects using Python

Deep Learning For Hackers ⭐ 196

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Options Trading Strategies In Python ⭐ 170

Developing Options Trading Strategies using Technical Indicators and Quantitative Methods

Machine Learning And Ai In Trading ⭐ 169

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

Data Scientist Books ⭐ 158

Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)

Language Modeling

Recommender systems for Go

Tensorflow Bitcoin Robot ⭐ 149

A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

Kaggle Competition Favorita ⭐ 138

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

Deep Learning Resources ⭐ 138

A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.

Semanaly ⭐ 137

semantic analysis using word2vector, doc2vector,lstm and other method. mainly for text similarity analysis.

Data_science ⭐ 125

daily curated links in DS, DL, NLP, ML

Limit_orderbook_prediction ⭐ 119

Sluice Networks ⭐ 119

Code for Sluice networks: Learning what to share between loosely related tasks

Tensorflow Phased Lstm ⭐ 118

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0

Pytorch_handbook ⭐ 111

pytorch_handbook

Lightnn ⭐ 111

The light deep learning framework for study and for fun. Join us!

Stocker ⭐ 108

Stock Price Prediction

Stock Price Predictor ⭐ 107

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Text_predictor ⭐ 99

Char-level RNN LSTM text generator📄.

Deep learning program generator

Contracode ⭐ 96

Contrastive Code Representation Learning: functionality-based JavaScript embeddings through self-supervised learning

Keras Timeseries Prediction ⭐ 94

Time series prediction with Sequential Model and LSTM units

Machine Learning ⭐ 92

My Attempt(s) In The World Of ML/DL....

Lstm_chem ⭐ 91

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

Ml Dl Tutorial ⭐ 91

Machine Learning /DL Tutorial

Pytorch_gbw_lm ⭐ 90

PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset

Deep recommender systems for Rust

Mmwave Localization Learning ⭐ 85

🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency

Language Translation ⭐ 79

Neural machine translator for English2German translation.

Translit Rnn ⭐ 78

Automatic transliteration with LSTM

Ai Reading Materials ⭐ 77

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

Bias Monitor ⭐ 71

A Chrome Extension that promotes politically diverse news reading with Artificial Intelligence!

Basic Machine Learning ⭐ 71

This is a repo of basic Machine Learning what I learn. More to go...

Lstm Text Generation ⭐ 70

Tons of fun with text and recurrent neural networks! Let your computer read a book and tell you its own story. 🤣

Time Series Forecasting Tensorflowjs ⭐ 69

Pull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework

AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.

Wsae Lstm ⭐ 61

implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)

Sequence To Sequence Learning Of Financial Time Series In Algorithmic Trading ⭐ 61

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

Chicksexer ⭐ 60

A Python package for gender classification.

Stock Price Trade Analyzer ⭐ 60

This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.

Rul_prediction ⭐ 59

remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN), and Long Short Term Memory (LSTM) unit

Matlabsamples ⭐ 58

🧐 Matlab Samples 👽 keep updating

Automatic trading bot (WIP)

Machine Learning Library, written in J

Time series based anomaly detector

Gdax Orderbook Ml ⭐ 53

Application of machine learning to the Coinbase (GDAX) orderbook

Question Answer Selection ⭐ 52

biLSTM/CNN based deep learning framework for Question Answer Selection.

Tensorflow deep-learning framework

Marseille ⭐ 50

Mining Argument Structures with Expressive Inference (Linear and LSTM Engines)

OpenCL for Nets - A Deep Learning Framework based on OpenCL, written by C++. Supports popular MLP, RNN(LSTM), CNN(ResNet). Friendly debugger. Transparent data. No library dependencies. 基于OpenCL的深度学习计算框架，C++开发，支持多层感知器，长短时记忆模型，卷积神经网络，残差网

Human Activity Recognition Using Recurrent Neural Nets Rnn Lstm And Tensorflow On Smartphones ⭐ 46

This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to

Password_cracker ⭐ 44

Char-level RNN LSTM password cracker 🔑🔓.

Deep Improvisation ⭐ 44

Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.

Human Activity Recognition ⭐ 44

Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.

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