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41 projects

Showing 36 of 41 projects

tesseract
tesseractC++

An open-source OCR engine that converts images to text, supporting over 100 languages and multiple output formats.

#c-plus-plus-library#hacktoberfest#open-source
Stars75.5k
Forks10.7k
Last commit18 hours ago
EasyOCR
EasyOCRPython

A ready-to-use OCR Python library supporting 80+ languages and popular writing scripts like Latin, Chinese, Arabic, and Cyrillic.

#multi-language#python-library#deep-learning
Stars29.8k
Forks3.6k
Last commit7 months ago
Stock-Prediction-Models
Stock-Prediction-ModelsJupyter Notebook

A comprehensive collection of machine learning and deep learning models, trading agents, and simulations for stock market forecasting.

#trading-bot#stock-price-prediction#stock-prediction-models
Stars9.5k
Forks3.0k
Last commit
Synaptic.js
Synaptic.jsJavaScript

An architecture-free neural network library for Node.js and the browser, supporting various network types.

#ai#neural-network#nodejs
Stars6.9k
Forks651
Last commit5 years ago
ml5
ml5JavaScript

A friendly JavaScript library that makes machine learning accessible in the browser for artists, creative coders, and students.

#browser-ml#neural-network#education
Stars6.6k
Forks898
Last commit1 year ago
awesome-rnn: list of resources (GitHub Repo)
awesome-rnn: list of resources (GitHub Repo)

A curated list of resources dedicated to recurrent neural networks (RNNs) and deep learning.

#research-papers#deep-learning#neural-networks
Stars6.2k
Forks1.4k
Last commit4 years ago
stockpredictionai
stockpredictionaiJavaScript

A complete AI-driven process using GANs with LSTM and CNN to predict stock price movements, incorporating diverse data sources and hyperparameter optimization.

#mxnet#time-series-forecasting#bayesian-optimization
Stars5.6k
Forks1.9k
Last commit
Classification on raw time series in TensorFlow with a LSTM RNN
Classification on raw time series in TensorFlow with a LSTM RNNJupyter Notebook

Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.

#neural-network#human-activity-recognition#deep-learning
Stars3.5k
Forks936
Last commit
LSTM for Human Activity Recognition
LSTM for Human Activity RecognitionJupyter Notebook

Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.

#neural-network#human-activity-recognition#deep-learning
Stars3.5k
Forks936
Last commit
captcha_trainer
captcha_trainerPython

A deep learning framework for training image classification models to solve complex captcha and OCR tasks.

#deep-learning#captcha-recognition#cnn
Stars3.2k
Forks823
Last commit8 months ago
A recurrent neural network designed to generate classical music.
A recurrent neural network designed to generate classical music.Python

A recurrent neural network that generates classical music using LSTM layers and convolutional-inspired architecture.

#neural-network#classical-music#ai-music
Stars1.9k
Forks371
Last commit
Education
Education

A curated collection of high-quality deep learning resources, including courses, books, papers, libraries, and datasets.

#reference-guide#educational#research-papers
Stars1.8k
Forks296
Last commit2 years ago
CTPN
CTPNJupyter Notebook

Scene text detection using Connectionist Text Proposal Network (CTPN) for detecting text lines in natural images.

#ocr-preprocessing#deep-learning#scene-text-detection
Stars1.3k
Forks529
Last commit4 years ago
Mad Science npm Packages
Mad Science npm Packages

A curated list of delightful npm packages that showcase surprising and innovative JavaScript capabilities.

#browserify#developer-tools#npm
Stars1.2k
Forks62
Last commit4 years ago
Neural Turing Machine in TensorFlow
Neural Turing Machine in TensorFlowJupyter Notebook

TensorFlow implementation of Neural Turing Machines with LSTM controllers, supporting multiple read/write heads.

#neural-turing-machine#sequence-learning#memory-augmented-networks
Stars1.0k
Forks212
Last commit
Molecular design
Molecular design

A curated collection of research papers on molecular and material design using generative AI and deep learning techniques.

#deep-generative-models#deep-learning#molecular-design
Stars946
Forks119
Last commit1 day ago
rnn
rnnLua

A Recurrent Neural Network library for Torch7's nn, providing RNN, LSTM, GRU, and other sequence modeling modules.

#deep-learning#neural-networks#gru
Stars941
Forks310
Last commit8 years ago
Seq2seq-Chatbot
Seq2seq-ChatbotPython

A minimal 200-line implementation of a sequence-to-sequence chatbot using TensorLayer and TensorFlow.

#chat#educational#tensorlayer
Stars837
Forks308
Last commit4 years ago
Character-Aware Neural Language Models
Character-Aware Neural Language ModelsPython

TensorFlow implementation of character-aware neural language models using CNN, highway networks, and LSTM.

#neural-network#deep-learning#text-generation
Stars788
Forks240
Last commit
Generative Handwriting Demo using TensorFlow
Generative Handwriting Demo using TensorFlowPython

Generates realistic handwriting using LSTM Mixture Density Networks implemented in TensorFlow.

#stroke-generation#creative-ai#deep-learning
Stars703
Forks164
Last commit
Torch code for Visual Question Answering using a CNN+LSTM model
Torch code for Visual Question Answering using a CNN+LSTM modelLua

A Torch implementation of a VIS+LSTM model for answering questions about images using deep learning.

#deep-learning#natural-language-processing#research-implementation
Stars486
Forks90
Last commit
sequitur
sequiturPython

A PyTorch library for creating and training autoencoders on sequential data (time series, videos, etc.) in just two lines of code.

#autoencoder-model#autoencoders#autoencoder
Stars454
Forks55
Last commit2 years ago
Crop Yield Prediction
Crop Yield PredictionPython

Deep learning models for crop yield prediction using remote sensing data, with CNN/LSTM and Gaussian Process approaches.

#deep-learning#remote-sensing#gaussian-process
Stars423
Forks212
Last commit3 years ago
LotteryPredict
LotteryPredictJupyter Notebook

A practical demo using LSTM neural networks with TensorFlow to predict lottery numbers.

#time-series-prediction#data-science#neural-networks
Stars413
Forks200
Last commit7 years ago
BrainCore
BrainCoreSwift

A fast neural network framework for iOS and macOS using Swift and Metal for GPU acceleration.

#ios#neural-network#deep-learning
Stars379
Forks48
Last commit9 years ago
LSTM-Crypto-Price-Prediction
LSTM-Crypto-Price-PredictionPython

Predicts Bitcoin price trends using an LSTM-RNN with technical indicators for automated trading via the Binance API.

#market-analysis#technical-analysis#scikit
Stars365
Forks58
Last commit
NNDIAL
NNDIALPython

An open-source toolkit for building end-to-end trainable task-oriented dialogue models with neural networks.

#academic-toolkit#dialogue-agents#dialogues
Stars353
Forks101
Last commit9 years ago
Deep stacked residual bidirectional LSTMs for HAR
Deep stacked residual bidirectional LSTMs for HARPython

A deep learning architecture using stacked residual bidirectional LSTM cells with TensorFlow for human activity recognition from sensor data.

#wearable-sensors#human-activity-recognition#deep-learning
Stars323
Forks97
Last commit
Flare
FlareClojure

A Clojure library for dynamic neural network graphs with pluggable tensor backends, inspired by PyTorch.

#dynamic-graph#intel-mkl#neural-networks
Stars287
Forks18
Last commit7 years ago
bitcoin_prediction
bitcoin_predictionJupyter Notebook

A real-time Bitcoin price prediction system using LSTM models and Twitter sentiment analysis.

#trading-bot#cryptocurrency#bitcoin
Stars233
Forks135
Last commit8 years ago
deeplearn-rs
deeplearn-rsRust

A proof-of-concept neural network library in Rust with implementations for MNIST digit recognition and char-rnn LSTM models.

#educational#deep-learning#neural-networks
Stars210
Forks22
Last commit6 years ago
Summary Generation From Structured Data
Summary Generation From Structured DataPython

A TensorFlow implementation of neural text generation from structured data, converting tabular information into natural language summaries.

#data-to-text#neural-networks#text-generation
Stars186
Forks55
Last commit
Image Caption Generator
Image Caption GeneratorJupyter Notebook

A TensorFlow-based neural network model for generating descriptive captions from images using Flickr30K and MSCOCO datasets.

#neural-network#deep-learning#captioning-images
Stars145
Forks55
Last commit
mmWave-localization-learning
mmWave-localization-learningPython

A machine learning algorithm for accurate, energy-efficient outdoor positioning using 5G mmWave beamformed fingerprints.

#mmwave#deep-learning#5g
Stars132
Forks42
Last commit2 years ago
max-image-caption-generator
max-image-caption-generatorPython

A TensorFlow-based model that generates descriptive captions for images using an Inception-v3 encoder and LSTM decoder.

#inception-v3#deep-learning#rest-api
Stars82
Forks45
Last commit10 months ago
max-weather-forecaster
max-weather-forecasterPython

A TensorFlow/Keras LSTM model for hourly weather forecasting, offering univariate, multivariate, and multistep prediction modes.

#time-series-prediction#noaa-data#rest-api
Stars71
Forks33
Last commit10 months ago
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