autonomioCore functionality for the Autonomio augmented intelligence workbench.
Stars: ✭ 27 (+58.82%)
PyRecognizer"A neural network to rule them all, a neural network to find them, a neural network to bring them all and verify if is you !!" (Face recognition tool)
Stars: ✭ 28 (+64.71%)
hwrtA toolset for handwriting recognition
Stars: ✭ 61 (+258.82%)
nhcrOffline Nepali Handwritten Character Recognition Using Artificial Neural Networks
Stars: ✭ 19 (+11.76%)
mlp stockStock price prediction using ensemble MLP in PyTorch.
Stars: ✭ 25 (+47.06%)
handwriting.jsA simple API access to the handwriting recognition service of Google IME
Stars: ✭ 89 (+423.53%)
kdd99-scikitSolutions to kdd99 dataset with Decision tree and Neural network by scikit-learn
Stars: ✭ 50 (+194.12%)
image-classificationA collection of SOTA Image Classification Models in PyTorch
Stars: ✭ 70 (+311.76%)
PyCasiaA python library to work with the CASIA Chinese handwriting database.
Stars: ✭ 38 (+123.53%)
SpeakerDiarization RNN CNN LSTMSpeaker 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).
Stars: ✭ 56 (+229.41%)
air writingOnline Hand Writing Recognition using BLSTM
Stars: ✭ 26 (+52.94%)
PaperSynthHandwritten text to synths!
Stars: ✭ 18 (+5.88%)
MachineLearningImplementations of machine learning algorithm by Python 3
Stars: ✭ 16 (-5.88%)
iinkJS✏️ ☁️ iinkJS is the fastest way to integrate rich handwriting recognition features in your webapp.
Stars: ✭ 65 (+282.35%)
rnnt decoder cudaAn efficient implementation of RNN-T Prefix Beam Search in C++/CUDA.
Stars: ✭ 60 (+252.94%)
form-segmentationLet's explore how we can extract text from forms
Stars: ✭ 42 (+147.06%)
mlp-singerOfficial implementation of MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis (IEEE MLSP 2021)
Stars: ✭ 103 (+505.88%)
Handwritten-Names-RecognitionThe goal of this project is to solve the task of name transcription from handwriting images implementing a NN approach.
Stars: ✭ 54 (+217.65%)
polyssifierrun a multitude of classifiers on you data and get an AUC report
Stars: ✭ 64 (+276.47%)
python-neuronNeuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons
Stars: ✭ 38 (+123.53%)
tiny-cuda-nnLightning fast & tiny C++/CUDA neural network framework
Stars: ✭ 908 (+5241.18%)
Audio-Classification-using-CNN-MLPMulti class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.
Stars: ✭ 36 (+111.76%)
recrossablecrossword game with simplistic handwriting recognition and automatic generation of crosswords
Stars: ✭ 36 (+111.76%)