rishiganeshv Goto Github PK

18.065_lecture_notes

lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"

color-classification-cnn

color recognition (convolutional neural network implemented in Keras)

color_recognition

:art: Color recognition both on a webcam stream in real-time, on video and on a single image using K-Nearest Neighbors Machine Learning classification algorithm is trained with Color Histogram Features.

coursera-algo-005

Notes and code for Algorithms I

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

ctci-6th-edition-python

Cracking the Coding Interview 6th Ed. Python Solutions

dash-by-plotly

Interactive data analytics

deep-learning-specialization-coursera

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.

deepform

Experimental form data extraction for journalism

east

A tensorflow implementation of EAST text detector

glove

GloVe model for distributed word representation

mapillary_tools

Useful tools and scripts related to Mapillary

midi-lstm-gan

Using LSTMs and GANs to Generate Music from MIDI Files (APM Fall 2018)

ml_framework

ml_project_template

multiple-color-detection

Real-Time Multiple Color Detection through WebCam

natural-language-processing-fundamentals

Use Python and NLTK to build out your own text classifiers and solve common NLP problems

natural_language_processing-using-tf

Natural Language Processing using Tensorflow

natural_language_processing_course_code

Natural_Language_Processing_Code

nlp-pdf-text-analytics

NLP Search and Text Analytics/Visualizations on PDF Documents

pdfconverter

Python based pdf to excel converter

pdfs-textextract

Multiple and Large PDF Documents Text Extraction.

product-catalog-size-recommendation-framework

Framework based on latent factor model and metric learning technique to predict fit of different catalog sizes of clothing products so as to recommend appropriately sized products to customers.

python-automation-scripts

Simple yet powerful automation stuffs.

pytorch-deep-learning

Deep Learning (with PyTorch)

pytorchtutorial

PyTorch Tutorials from my YouTube channel

quantum

Hybrid Quantum-Classical Machine Learning in TensorFlow

scalable-bayesian-matrix-factorization

SBMF is a MCMC Gibbs sampling algorithm for MF having linear time complexity wrt the target rank and linear space complexity wrt the number of non-zero observations

scalable-variational-bayesian-factorization-machine

Scalable Variational Bayesian inference algorithm for FM is developed which converges faster than the existing state-of-the-art MCMC based inference algorithm. Additionally, a stochastic variational Bayesian algorithm for FM is introduced for large scale learning which utilizes SGD.

self-learning

Books Papers, Courses & more I have to learn soon