GireeshS22's Stars
ranjanrak/optionchainstream
Live streaming option chain for equity derivatives using Kite connect Websocket based on redis.
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
MayureshShilotri/26-Weeks-Of-Data-Science
Email Newsletter
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
qjadud1994/CRNN-Keras
CRNN (CNN+RNN) for OCR using Keras / License Plate Recognition
Nagakiran1/4-simple-steps-in-Builiding-OCR
Optical character recognition (OCR) is process of classification of opti- cal patterns contained in a digital image. The character recognition is achieved through segmentation, feature extraction and classification. Keras Deep learning Network is used at here in recognising the Text characters and OpenCV is used in segmenting the text and Noise normalization.
daniarnaizg/text-detector-ocr
Simple text on images detector using OpenCV and OCR with Keras.
datasciencescoop/Data-Science--Cheat-Sheet
Cheat Sheets
harvitronix/five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
githubharald/CTCDecoder
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
cyprienruffino/CTCModel
Easy-to-use Connectionnist Temporal Classification in Keras
huyhoang17/Vietnamese_Handwriting_Recognition
[DEPRECATED] Vietnamese Handwriting Recognition with CRNN and CTC Loss
huyhoang17/Colab_Temporary
Some notebooks exported from Google Colab
huyhoang17/CRNN_CTC_English_Handwriting_Recognition
English Handwriting Recognition with CRNN and CTC Loss
jsyqrt/hwr-address
(Deprecated) deep learning based Chinese handwriting character recognition, 基于深度学习的手写汉字地址识别
RanchMobile/Tamil-AI
Tamil Handwriting Detection through Deep Learning
Tony607/keras-image-ocr
How to train a Keras model to recognize variable length text | DLology
ikonthomas/Digitize-Handwritten-Texts
I will tackle the issue of handwritten scribes usually written by Doctors and Nurses. In my project I will digitize handwritten scripts to digital records which can then be stored in non relational databases. The data used to build the model was collected from IAM Handwriting database. This model is built on handwriting from 657 different writers. Each writer has written multiple paragraphs and sentences have been extracted from those paragraphs.
ThomasDelteil/HandwrittenTextRecognition_MXNet
OCR using MXNet Gluon. The pipeline is composed of a CNN + biLSTM + CTC. The dataset is from: http://www.fki.inf.unibe.ch/databases/iam-handwriting-database. You need to register and get a username and password from their website.
0x454447415244/HandwritingRecognitionSystem
Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture
PyImageSearch/imutils
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
JishnuNair/dmg2
Exercises in Supervised learning : Fisher LDA, Purity Measures(Accuracy, GINI Index, Entropy), Naive Bayes Classifier, Decision Tree Classifier, Bayesian Classifier, kNN Classifier, Parzen Window Classifier,
robertmartin8/MachineLearningStocks
Using python and scikit-learn to make stock predictions
max-fitzpatrick/Machine_learning_trading_algorithm
Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate buy/sell signals
cooltechie007/bounce